250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
This report presents the forensic synthetic code analysis of unslothai/notebooks, a Jupyter Notebook project with 5,639 GitHub stars. SynthScan v2.0 examined 345,598 lines of code across 659 source files, recording 7447 pattern matches distributed across 21 syntactic categories. The overall adjusted score of 57.3 places this repository in the Strong AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 7447 distinct pattern matches across 21 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | update_all_notebooks.py | 0 | introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free | STRING |
| HIGH | molab/gpt_oss_(20B)_GRPO_BF16.py | 0 | introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free | STRING |
| HIGH | molab/gpt-oss-(20B)-GRPO.py | 0 | introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free | STRING |
| HIGH | molab/gpt-oss-(20B)_A100-GRPO.py | 0 | introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free | STRING |
| HIGH | molab/Qwen3_Embedding_(0_6B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Granite4.0_350M.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma4_(E2B)-Text.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/FunctionGemma_(270M).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3_(270M)_Phone_Deployment.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Liquid_LFM2_(1.2B)-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3.2_(1B_and_3B)-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Pixtral_(12B)-Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Granite4.0.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Deepseek_OCR_2_(3B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Sesame_CSM_(1B)-TTS.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llasa_TTS_(1B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Mistral_Nemo_(12B)-Alpaca.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_5_(2B)_Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma2_(9B)-Alpaca.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/gpt-oss-(20B)-Fine-tuning.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma4_(E4B)-Audio.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Phi_3_Medium-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3.1_(8B)-Alpaca.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma4_(E2B)_GRPO.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_(14B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Spark_TTS_(0_5B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3_(270M).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/ModernBert.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3_(4B)-Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3.2_(11B)-Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_(4B)-Instruct.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3.2_(1B)-RAFT.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen2.5_(7B)-Alpaca.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_(4B)-Thinking.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_5_(4B)_Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/FunctionGemma_(270M)-Mobile-Actions.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3_(8B)-ORPO.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3_(8B)-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | …ab/Qwen3_(0.6B)-Reasoning-Conversational-ExecuTorch.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Zephyr_(7B)-DPO.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Ministral_3_VL_(3B)_Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3N_(4B)-Audio.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/EmbeddingGemma_(300M).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_5_(0_8B)_Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Mistral_v0.3_(7B)-CPT.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/bert_classification.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/All_MiniLM_L6_v2.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Qwen3_VL_(8B)-Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/LFM2.5_(1.2B)-Text_Completion.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3N_(4B)-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma3_(4B).py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Mistral_(7B)-Text_Completion.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/gpt-oss-(20B)-GRPO.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/CodeGemma_(7B)-Conversational.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Orpheus_(3B)-TTS.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Gemma4_(E2B)-Vision.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| HIGH | molab/Llama3_(8B)-Alpaca.py | 0 | to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clas | STRING |
| 2478 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | pyproject.toml | 21 | # names it had to rename for the single-definition rule, which | COMMENT |
| LOW | update_all_notebooks.py | 1 | # Unsloth Notebooks - Notebooks for Unsloth | COMMENT |
| LOW | update_all_notebooks.py | 121 | COMMENT | |
| LOW | update_all_notebooks.py | 161 | # moved for the reasons set out above installation_grpo_content, and 2.9.0 is | COMMENT |
| LOW | update_all_notebooks.py | 341 | # 1. At or above 0.10.0. Up to 0.9.2 `vllm/transformers_utils/configs/ovis.py` | COMMENT |
| LOW | update_all_notebooks.py | 361 | # T4 has no backend left to fall back to. | COMMENT |
| LOW | update_all_notebooks.py | 681 | # already satisfied by Colab's preinstalled 0.36.2, so the next import dies. | COMMENT |
| LOW | update_all_notebooks.py | 801 | # torchao 0.18.0. The ROCm cell above owns the torchao version, so if inference | COMMENT |
| LOW | update_all_notebooks.py | 921 | # (0.5.1) and injects it as a real top-level `fla`, but its selection rule | COMMENT |
| LOW | update_all_notebooks.py | 941 | "!pip install transformers==5.15.1", | COMMENT |
| LOW | update_all_notebooks.py | 981 | # version is what pulls it from the index the new torch came from. | COMMENT |
| LOW | update_all_notebooks.py | 3801 | # popularity (downloads + likes*1000) of the models each notebook actually | COMMENT |
| LOW | update_all_notebooks.py | 4361 | return cache, refs_by_nb, assigned_by_nb | COMMENT |
| LOW | update_all_notebooks.py | 5681 | # (GSM8K Math, DAPO Math, Vision Math, Wordle, Sudoku, 2048 Game, | COMMENT |
| LOW | update_all_notebooks.py | 5901 | "popularity_key": data.get("created_at_key", (0, 0)), | COMMENT |
| LOW | update_all_notebooks.py | 5921 | # keeps the previous ordering. | COMMENT |
| LOW | molab/Qwen3_Embedding_(0_6B).py | 1 | # /// script | COMMENT |
| LOW | molab/Granite4.0_350M.py | 1 | # /// script | COMMENT |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 1 | # /// script | COMMENT |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 21 | # "uvicorn", | COMMENT |
| LOW | molab/GLM_Flash_A100(80GB).py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(E2B)-Text.py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(E2B)-Text.py | 21 | # "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo", | COMMENT |
| LOW | molab/Qwen3_6_MoE.py | 1 | # /// script | COMMENT |
| LOW | molab/Qwen3_6_MoE.py | 21 | # "xformers>=0.0.33", | COMMENT |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 1 | # /// script | COMMENT |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 1 | # /// script | COMMENT |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 121 | @app.cell | COMMENT |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 181 | COMMENT | |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 201 | # install new versions. | COMMENT |
| LOW | molab/FunctionGemma_(270M).py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(12B)_Text.py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(12B)_Text.py | 21 | # "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo", | COMMENT |
| LOW | molab/Gemma3_(270M)_Phone_Deployment.py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma3_(270M)_Phone_Deployment.py | 21 | # "unsloth @ git+https://github.com/unslothai/unsloth", | COMMENT |
| LOW | molab/Gemma3_(270M)_Phone_Deployment.py | 361 | """) | COMMENT |
| LOW | molab/Gemma3_(270M)_Phone_Deployment.py | 421 | ### Test Inference on Exported Model | COMMENT |
| LOW | molab/Magistral_(24B)-Reasoning-Conversational.py | 1 | # /// script | COMMENT |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 1 | # /// script | COMMENT |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 21 | # "uvicorn", | COMMENT |
| LOW | molab/Liquid_LFM2_(1.2B)-Conversational.py | 1 | # /// script | COMMENT |
| LOW | molab/Liquid_LFM2_(1.2B)-Conversational.py | 21 | # "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo", | COMMENT |
| LOW | molab/Muse_Glimmer_(30B)-Multimodal.py | 1 | # /// script | COMMENT |
| LOW | molab/Llama3.2_(1B_and_3B)-Conversational.py | 1 | # /// script | COMMENT |
| LOW | molab/Pixtral_(12B)-Vision.py | 1 | # /// script | COMMENT |
| LOW | molab/Granite4.0.py | 1 | # /// script | COMMENT |
| LOW | molab/Deepseek_OCR_2_(3B).py | 1 | # /// script | COMMENT |
| LOW | molab/Deepseek_OCR_2_(3B).py | 21 | # "unsloth @ git+https://github.com/unslothai/unsloth", | COMMENT |
| LOW | molab/DiffusionGemma_(26B-A4B)-Sudoku.py | 1 | # /// script | COMMENT |
| LOW | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 1 | # /// script | COMMENT |
| LOW | molab/Sesame_CSM_(1B)-TTS.py | 1 | # /// script | COMMENT |
| LOW | molab/Synthetic_Data_Hackathon.py | 1 | # /// script | COMMENT |
| LOW | molab/Qwen3_VL_(8B)-Vision-GRPO.py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(E4B)-Text.py | 1 | # /// script | COMMENT |
| LOW | molab/Gemma4_(E4B)-Text.py | 21 | # "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo", | COMMENT |
| LOW | molab/Llasa_TTS_(1B).py | 1 | # /// script | COMMENT |
| LOW | molab/Llasa_TTS_(1B).py | 21 | # "triton>=3.2.0", | COMMENT |
| LOW | molab/Mistral_Nemo_(12B)-Alpaca.py | 1 | # /// script | COMMENT |
| LOW | molab/Qwen3_5_(2B)_Vision.py | 1 | # /// script | COMMENT |
| LOW | molab/Qwen3_5_(2B)_Vision.py | 21 | # "xformers>=0.0.33", | COMMENT |
| 2362 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH⚡ | update_all_notebooks.py | 751 | ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2, | CODE |
| HIGH⚡ | update_all_notebooks.py | 751 | ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2, | CODE |
| HIGH | update_all_notebooks.py | 543 | !rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTS | CODE |
| HIGH | update_all_notebooks.py | 553 | !rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTS | CODE |
| HIGH | update_all_notebooks.py | 1060 | !pip install transformers==4.55.4 && pip install --no-deps trl==0.22.2""".replace( | CODE |
| HIGH⚡ | molab/NeMo-Gym-Multi-Environment.py | 290 | "source .venv/bin/activate && python " | STRING |
| HIGH | molab/NeMo-Gym-Multi-Environment.py | 352 | "source .venv/bin/activate && ng_run " | STRING |
| HIGH⚡ | molab/NeMo-Gym-Sudoku.py | 284 | "source .venv/bin/activate && python " | STRING |
| HIGH | molab/NeMo-Gym-Sudoku.py | 314 | "source .venv/bin/activate && ng_run " | STRING |
| HIGH | molab/Llama3_(8B)-Ollama.py | 586 | "command -v zstd >/dev/null 2>&1 || (apt-get -qq update && apt-get -qq install -y zstd) >/dev/null 2>&1", | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 26 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 26 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-Pixtral_(12B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma3_(4B).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-CodeGemma_(7B)-Conversational.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(26B_A4B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 229 | "source .venv/bin/activate && python " | CODE |
| HIGH | python_scripts/NeMo-Gym-Multi-Environment.py | 287 | "source .venv/bin/activate && ng_run " | CODE |
| HIGH | python_scripts/AMD-Llama3.1_(8B)-Inference.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Spark_TTS_(0_5B).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma3_(4B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(12B)_Text.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 213 | "source .venv/bin/activate && python " | CODE |
| HIGH | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 21 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 21 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 271 | "source .venv/bin/activate && ng_run " | CODE |
| HIGH | python_scripts/AMD-GLM_Flash_A100(80GB).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(12B)_Audio.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | …thon_scripts/AMD-Qwen2.5_Coder_(14B)-Conversational.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(E2B)-Text.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | …thon_scripts/AMD-Llama3.3_(70B)_A100-Conversational.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-TinyLlama_(1.1B)-Alpaca.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-FunctionGemma_(270M).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma3_(270M)_Phone_Deployment.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | …hon_scripts/AMD-FunctionGemma_(270M)-Mobile-Actions.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 27 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 27 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Llama3.1_(8B)-Alpaca.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Nemotron-3-Nano-30B-A3B_A100.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Qwen_3_5_27B_A100(80GB).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Llama3_(8B)-ORPO.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Qwen3_(4B)_Instruct-QAT.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma3N_(4B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(E4B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | …cripts/AMD-Magistral_(24B)-Reasoning-Conversational.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-LFM2.5_(1.2B)-Text_Completion.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-LFM2.5_VL_(1.6B)-Vision.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(E4B)-Text.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py | 36 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py | 36 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | …s/AMD-Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 29 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Qwen3_5_MoE.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Llama3.1_(8B)-GRPO.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Meta_Synthetic_Data_Llama3_2_(3B).py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-Gemma3N_(4B)-Audio.py | 36 | # get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comm | COMMENT |
| 134 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | update_all_notebooks.py | 736 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | update_all_notebooks.py | 746 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | update_all_notebooks.py | 3796 | # ============================================================================ | COMMENT |
| MEDIUM | update_all_notebooks.py | 3798 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | tests/test_vllm_cells_resolve_torchao_against_torch.py | 126 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_vllm_cells_resolve_torchao_against_torch.py | 128 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …sts/test_pinned_vllm_can_import_pinned_transformers.py | 309 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …sts/test_pinned_vllm_can_import_pinned_transformers.py | 338 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_generate_takes_transformers_kwargs.py | 203 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_generate_takes_transformers_kwargs.py | 205 | # -------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 47 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 49 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_no_colab_markers.py | 62 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_no_colab_markers.py | 64 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_no_colab_markers.py | 72 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_no_colab_markers.py | 74 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 154 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 156 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 192 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_no_colab_markers.py | 194 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 66 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 68 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 78 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 80 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 88 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 90 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 109 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 111 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 118 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 120 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 174 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 177 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 195 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 197 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 215 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_generation_parity.py | 218 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_dependency_parity.py | 285 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_dependency_parity.py | 287 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 51 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 53 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 69 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 71 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 148 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 150 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 236 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_dependency_parity.py | 238 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_manifest.py | 62 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_manifest.py | 64 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_manifest.py | 280 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_manifest.py | 282 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_manifest.py | 43 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_manifest.py | 45 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_marimo_validity.py | 46 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | tests/test_molab_marimo_validity.py | 48 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 61 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 63 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 71 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 73 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 83 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/test_molab_marimo_validity.py | 85 | # --------------------------------------------------------------------------- | COMMENT |
| 108 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_max_seq_length.py | 59 | def update_max_seq_length_in_source(source): | CODE |
| LOW⚡ | update_all_notebooks.py | 6242 | def copy_and_update_notebooks( | CODE |
| LOW | update_all_notebooks.py | 179 | def build_vllm_torchao_spec_block(indent=""): | CODE |
| LOW | update_all_notebooks.py | 202 | def _qat_torchao_fallback_snippet(default_torchao=None): | CODE |
| LOW | update_all_notebooks.py | 240 | def build_qat_native_install_block( | CODE |
| LOW | update_all_notebooks.py | 279 | def update_or_append_pip_install(base_content, package_name, new_install_line): | CODE |
| LOW | update_all_notebooks.py | 1640 | def _should_skip_readme_notebook(path): | CODE |
| LOW | update_all_notebooks.py | 1689 | def _file_has_trailing_newline(filepath): | CODE |
| LOW | update_all_notebooks.py | 1761 | def _restore_original_outputs(filepath): | CODE |
| LOW | update_all_notebooks.py | 1788 | def _normalize_lgpl_blank_line(filepath): | CODE |
| LOW | update_all_notebooks.py | 2031 | def _owns_extra_grpo_install_cell(notebook_path, cells, idx): | CODE |
| LOW | update_all_notebooks.py | 2075 | def _is_extra_grpo_install_cell(cells, idx): | CODE |
| LOW | update_all_notebooks.py | 2097 | def _defer_torch_imports_past_downgrade(install_text): | CODE |
| LOW | update_all_notebooks.py | 2184 | def _adjacent_install_like_code_cells(cells, first_code_idx): | CODE |
| LOW | update_all_notebooks.py | 2230 | def _is_residual_non_amd_install_cell(cells, idx, source_text): | CODE |
| LOW | update_all_notebooks.py | 2246 | def _is_stale_amd_announcement(source_text): | CODE |
| LOW | update_all_notebooks.py | 2264 | def _validate_vllm_install_usage(notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2297 | def _assert_vllm_install_usage_or_fast_inference(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2329 | def _validate_amd_install_package_parity(amd_notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2368 | def _assert_amd_install_package_parity(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2397 | def _validate_amd_install_runtime(notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2454 | def _assert_amd_install_runtime(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2479 | def _get_base_name_from_filename(filename): | CODE |
| LOW | update_all_notebooks.py | 2531 | def _strip_extra_trailing_blank_lines(lines): | CODE |
| LOW | update_all_notebooks.py | 3058 | def _iter_pip_install_arg_strings(text): | CODE |
| LOW | update_all_notebooks.py | 3075 | def _package_key_from_install_token(token): | CODE |
| LOW | update_all_notebooks.py | 3117 | def _extract_install_package_groups(text): | CODE |
| LOW | update_all_notebooks.py | 3195 | def _extract_install_package_names_from_text(text): | CODE |
| LOW | update_all_notebooks.py | 3232 | def _extract_preserved_setup_lines(text): | CODE |
| LOW | update_all_notebooks.py | 3275 | def _extract_git_main_unsloth_specs(source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3301 | def _extract_forced_unsloth_release_specs(source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3356 | def _build_qat_version_vars_block(): | CODE |
| LOW | update_all_notebooks.py | 3382 | def _pin_qat_numpy_beside_fbgemm(merged_groups): | CODE |
| LOW | update_all_notebooks.py | 3440 | def _compose_amd_installation(notebook_path, source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3569 | def _prepend_missing_stdlib_imports(cell_text): | CODE |
| LOW | update_all_notebooks.py | 3592 | def _append_missing_amd_install_groups(new_install_text, source_install_text): | CODE |
| LOW | update_all_notebooks.py | 3633 | def extract_model_info_refined(filename, architecture_mapping, known_types_ordered): | CODE |
| LOW | update_all_notebooks.py | 4258 | def refresh_model_created_cache(notebook_paths, cache_path=_MODEL_CREATED_CACHE_PATH): | CODE |
| LOW | update_all_notebooks.py | 5328 | def _should_fallback_process_error(exc): | CODE |
| LOW | update_all_notebooks.py | 5349 | def _can_use_process_executor(): | CODE |
| LOW | update_all_notebooks.py | 5916 | def _make_section_row_sort_key(section_name): | CODE |
| LOW | update_all_notebooks.py | 6381 | def copy_and_update_amd_notebooks( | CODE |
| LOW | update_all_notebooks.py | 6514 | def convert_notebook_to_script(notebook_path: str, output_path: str): | CODE |
| LOW | update_all_notebooks.py | 6589 | def _ensure_memory_stats_hidden(nb_path): | CODE |
| LOW | update_all_notebooks.py | 3925 | def notebook_uses_fast_inference(notebook_path): | STRING |
| LOW | update_all_notebooks.py | 4032 | def extract_hf_model_refs_from_notebook(notebook_path): | STRING |
| LOW | update_all_notebooks.py | 4095 | def _load_model_created_cache(cache_path=_MODEL_CREATED_CACHE_PATH): | STRING |
| LOW | update_all_notebooks.py | 4139 | def _write_model_created_cache(cache, cache_path=_MODEL_CREATED_CACHE_PATH): | STRING |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 321 | def check_only_stdlib_imports(code: str): | STRING |
| LOW | molab/FunctionGemma_(270M).py | 466 | def prepare_messages_and_tools(example): | STRING |
| LOW | molab/Muse_Glimmer_(30B)-Multimodal.py | 431 | def _extract_images_videos_for_example(self, example, messages): | STRING |
| LOW | molab/Deepseek_OCR_2_(3B).py | 416 | def calculate_image_token_count( | CODE |
| LOW | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 636 | def get_usd_to_euro_conversion_rate() -> float: | CODE |
| LOW | molab/Muse_Glimmer_(30B)-GRPO.py | 888 | def chunked_hidden_states_selective_log_softmax( | STRING |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 306 | def check_only_stdlib_imports(code: str): | STRING |
| LOW | molab/Spark_TTS_(0_5B).py | 425 | def generate_speech_from_text( | STRING |
| LOW | molab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 160 | def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]: | STRING |
| LOW | molab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 332 | def _update_state_after_change(self) -> None: | STRING |
| LOW | molab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 173 | def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]: | STRING |
| LOW | molab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 345 | def _update_state_after_change(self) -> None: | STRING |
| 530 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | molab/Granite4.0_350M.py | 230 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 137 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 139 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 224 | CODE | |
| LOW | molab/Gemma4_(E2B)-Text.py | 229 | CODE | |
| LOW | molab/Qwen3_6_MoE.py | 167 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 472 | CODE | |
| LOW | molab/Gemma4_(12B)_Text.py | 230 | CODE | |
| LOW | molab/Gemma3_(270M)_Phone_Deployment.py | 49 | CODE | |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 137 | CODE | |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 221 | CODE | |
| LOW | molab/Granite4.0.py | 223 | CODE | |
| LOW | molab/Deepseek_OCR_2_(3B).py | 345 | CODE | |
| LOW | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 125 | CODE | |
| LOW | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 568 | CODE | |
| LOW | molab/Sesame_CSM_(1B)-TTS.py | 163 | CODE | |
| LOW | molab/Sesame_CSM_(1B)-TTS.py | 164 | CODE | |
| LOW | molab/Synthetic_Data_Hackathon.py | 347 | CODE | |
| LOW | molab/Qwen3_VL_(8B)-Vision-GRPO.py | 121 | CODE | |
| LOW | molab/Gemma4_(E4B)-Text.py | 230 | CODE | |
| LOW | molab/Qwen3_5_(2B)_Vision.py | 213 | CODE | |
| LOW | molab/Gemma4_(E4B)-Audio.py | 112 | CODE | |
| LOW | molab/Gemma4_(E4B)-Audio.py | 179 | CODE | |
| LOW | molab/Gemma4_(E4B)-Audio.py | 192 | CODE | |
| LOW | molab/Gemma4_(12B)_Vision.py | 218 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 457 | CODE | |
| LOW | molab/Spark_TTS_(0_5B).py | 48 | CODE | |
| LOW | molab/Spark_TTS_(0_5B).py | 205 | CODE | |
| LOW | molab/Spark_TTS_(0_5B).py | 207 | CODE | |
| LOW | molab/Spark_TTS_(0_5B).py | 420 | CODE | |
| LOW | molab/Spark_TTS_(0_5B).py | 420 | CODE | |
| LOW | molab/Qwen3_5_(4B)_Vision_GRPO.py | 115 | CODE | |
| LOW | molab/Gemma3_(4B)-Vision.py | 211 | CODE | |
| LOW | …CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.py | 221 | CODE | |
| LOW | molab/Gemma4_(12B)_Audio.py | 180 | CODE | |
| LOW | molab/Gemma4_(12B)_Audio.py | 193 | CODE | |
| LOW | molab/gpt_oss_(20B)_500K_Context_Fine_tuning.py | 228 | CODE | |
| LOW | molab/LFM2.5_(1.2B)-Translation.py | 268 | CODE | |
| LOW | molab/Qwen3_5_(4B)_Vision.py | 213 | CODE | |
| LOW | molab/GPT_OSS_MXFP4_(20B)-Inference.py | 108 | CODE | |
| LOW | molab/Qwen3_MoE.py | 109 | CODE | |
| LOW | molab/Llama3_(8B)-ORPO.py | 100 | CODE | |
| LOW | molab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 100 | CODE | |
| LOW | molab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 158 | CODE | |
| LOW | molab/Zephyr_(7B)-DPO.py | 109 | CODE | |
| LOW | molab/Zephyr_(7B)-DPO.py | 428 | CODE | |
| LOW | molab/Ministral_3_VL_(3B)_Vision.py | 207 | CODE | |
| LOW | molab/Gemma3N_(4B)-Audio.py | 111 | CODE | |
| LOW | molab/Gemma3N_(4B)-Audio.py | 180 | CODE | |
| LOW | molab/Gemma3N_(4B)-Audio.py | 193 | CODE | |
| LOW | molab/Qwen3_5_(0_8B)_Vision.py | 213 | CODE | |
| LOW | molab/Mistral_v0.3_(7B)-CPT.py | 280 | CODE | |
| LOW | molab/Gemma4_(31B)-Vision.py | 218 | CODE | |
| LOW | molab/Whisper.py | 210 | CODE | |
| LOW | molab/Gemma3N_(2B)-Inference.py | 316 | CODE | |
| LOW | molab/bert_classification.py | 103 | CODE | |
| LOW | molab/Qwen3_VL_(8B)-Vision.py | 210 | CODE | |
| LOW | molab/LFM2.5_(1.2B)-Text_Completion.py | 237 | CODE | |
| LOW | molab/LFM2.5_(1.2B)-Text_Completion.py | 238 | CODE | |
| LOW | molab/Gemma3N_(4B)-Conversational.py | 229 | CODE | |
| 418 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_max_seq_length.py | 93 | except Exception as e: | CODE |
| MEDIUM | update_max_seq_length.py | 94 | print(f"Error reading {notebook_path}: {e}") | CODE |
| LOW | update_max_seq_length.py | 126 | except Exception as e: | CODE |
| LOW | replace_text.py | 20 | except Exception: | CODE |
| LOW | replace_text.py | 30 | except Exception: | CODE |
| LOW | replace_text.py | 76 | except Exception as e: | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 5211 | print(f"Error: Notebook not found at {notebook_path}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 5213 | print(f"Error: Invalid JSON in notebook at {notebook_path}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6233 | print(f"Error: README file '{readme_path}' not found.") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6235 | print(f"Error processing README: {ve}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6237 | print(f"An error occurred while updating {readme_path}: {e}") | CODE |
| MEDIUM | update_all_notebooks.py | 5670 | print(f"Error processing {notebook_name}: {e}") | CODE |
| MEDIUM | update_all_notebooks.py | 2264 | def _validate_vllm_install_usage(notebook_path): | CODE |
| MEDIUM | update_all_notebooks.py | 3068 | def _split_pip_args(arg_string): | CODE |
| MEDIUM | update_all_notebooks.py | 4227 | def _safe_int(v): | CODE |
| MEDIUM | update_all_notebooks.py | 6610 | def _apply_global_fixes(nb_path): | CODE |
| LOW⚡ | update_all_notebooks.py | 5214 | except Exception as e: | CODE |
| LOW⚡ | update_all_notebooks.py | 6236 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 44 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 50 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 214 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 236 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 265 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 965 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1757 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1784 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1803 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1934 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 2603 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 3369 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 3666 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4211 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4222 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4400 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4506 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5368 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5378 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5444 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5481 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 5588 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 5669 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 5998 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6002 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6413 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 6606 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 6642 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6743 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6903 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 6921 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7024 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7046 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7070 | except Exception as _molab_exc: # noqa: BLE001 - keep molab failures non-fatal | CODE |
| LOW | update_all_notebooks.py | 4134 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 623 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 634 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 858 | except Exception as e: | STRING |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 313 | except Exception: | STRING |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 444 | except Exception as e: | STRING |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 523 | except Exception as e: | STRING |
| LOW | molab/FunctionGemma_(270M).py | 535 | except Exception: | STRING |
| 311 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_all_notebooks.py | 382 | # If you're not in Colab, just use pip install or uv pip install | COMMENT |
| LOW | update_all_notebooks.py | 392 | # If you're not in Colab, just use pip install! | COMMENT |
| LOW | update_all_notebooks.py | 449 | # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | update_all_notebooks.py | 812 | # harness cannot execute. AMD-Llasa therefore still installs whatever torchao | STRING |
| MEDIUM | molab/Llama3_(8B)-Ollama.py | 572 | [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](ht | CODE |
| LOW | python_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| LOW | python_scripts/LFM2.5_(1.2B)-GRPO.py | 36 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/LFM2.5_(1.2B)-GRPO.py | 47 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/LFM2.5_(1.2B)-GRPO.py | 305 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/LFM2.5_(1.2B)-GRPO.py | 305 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 107 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 396 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 396 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | …scripts/Kaggle-Qwen3_(14B)-Reasoning-Conversational.py | 99 | # 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset i | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 155 | # Our dataset is a HuggingFace `Dataset` object, so we can leverage the abstraction's advantage to do a train-test split | COMMENT |
| LOW | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 225 | # Here we show both, but you could just use `context`. | COMMENT |
| LOW | python_scripts/Llama_FP8_GRPO.py | 36 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/Llama_FP8_GRPO.py | 47 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/Llama_FP8_GRPO.py | 393 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/Llama_FP8_GRPO.py | 393 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/Synthetic_Data_Hackathon.py | 300 | # This cell performs comprehensive data processing: | COMMENT |
| MEDIUM | python_scripts/Kaggle-Phi_4_(14B)-GRPO.py | 73 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| LOW | …n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | …n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | …n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py | 107 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| LOW | python_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\n!pip install --upgrade -qqq uv\nif "COLAB_" not in "".join(os. | COMMENT |
| LOW | python_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| LOW | python_scripts/Qwen2_5_7B_VL_GRPO.py | 36 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/Qwen2_5_7B_VL_GRPO.py | 47 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.1_(8B)-GRPO.py | 91 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| MEDIUM | …n_scripts/Qwen3_(32B)_A100-Reasoning-Conversational.py | 99 | # 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset i | COMMENT |
| MEDIUM | python_scripts/Kaggle-Qwen3_(4B)-GRPO.py | 291 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/Kaggle-Qwen3_(4B)-GRPO.py | 291 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| LOW | python_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py | 107 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| MEDIUM | python_scripts/Qwen3_(14B).py | 99 | # 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset i | COMMENT |
| MEDIUM | python_scripts/AMD-LFM2.5_(1.2B)-GRPO.py | 285 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/AMD-LFM2.5_(1.2B)-GRPO.py | 285 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/AMD-Mistral_v0.3_(7B)-GRPO.py | 91 | # We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama_FP8_GRPO.py | 364 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama_FP8_GRPO.py | 364 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM⚡ | python_scripts/Kaggle-Llama3_(8B)-Ollama.py | 404 | # [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](http | COMMENT |
| MEDIUM⚡ | python_scripts/Kaggle-Llama3_(8B)-Ollama.py | 404 | # [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](http | COMMENT |
| LOW | …cripts/HuggingFace Course-Qwen3_VL_(8B)-Vision-GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/AMD-Llama_FP8_GRPO.py | 379 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/AMD-Llama_FP8_GRPO.py | 379 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py | 38 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py | 49 | # # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py | 322 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py | 322 | # We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). Yo | COMMENT |
| MEDIUM | python_scripts/Llama3.2_(1B)-RAFT.py | 158 | # Our dataset is a HuggingFace `Dataset` object, so we can leverage the abstraction's advantage to do a train-test split | COMMENT |
| LOW | python_scripts/Llama3.2_(1B)-RAFT.py | 228 | # Here we show both, but you could just use `context`. | COMMENT |
| LOW | python_scripts/Gemma3_(4B)-Vision-GRPO.py | 36 | # get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% con | COMMENT |
| LOW | python_scripts/Gemma3_(4B)-Vision-GRPO.py | 47 | # # If you're not in Colab, just use pip install! | COMMENT |
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| LOW | update_all_notebooks.py | 1675 | CODE | |
| LOW | update_all_notebooks.py | 1929 | CODE | |
| LOW | update_all_notebooks.py | 2479 | CODE | |
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| LOW | update_all_notebooks.py | 2598 | CODE | |
| LOW | update_all_notebooks.py | 3195 | CODE | |
| LOW | update_all_notebooks.py | 3232 | CODE | |
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| LOW | update_all_notebooks.py | 3440 | CODE | |
| LOW | update_all_notebooks.py | 3633 | CODE | |
| LOW | update_all_notebooks.py | 4032 | CODE | |
| LOW | update_all_notebooks.py | 4095 | CODE | |
| LOW | update_all_notebooks.py | 4531 | CODE | |
| LOW | update_all_notebooks.py | 5454 | CODE | |
| LOW | update_all_notebooks.py | 5569 | CODE | |
| LOW | update_all_notebooks.py | 6542 | CODE | |
| LOW | update_all_notebooks.py | 6589 | CODE | |
| LOW | update_all_notebooks.py | 6650 | CODE | |
| LOW | update_all_notebooks.py | 2768 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 285 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 471 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 729 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 292 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 736 | CODE | |
| LOW | molab/gpt_oss_(20B)_GRPO_BF16.py | 507 | CODE | |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 165 | CODE | |
| LOW | molab/FunctionGemma_(270M).py | 458 | CODE | |
| LOW | molab/FunctionGemma_(270M).py | 466 | CODE | |
| LOW | molab/Muse_Glimmer_(30B)-Multimodal.py | 426 | CODE | |
| LOW | molab/Muse_Glimmer_(30B)-Multimodal.py | 431 | CODE | |
| LOW | molab/Deepseek_OCR_2_(3B).py | 337 | CODE | |
| LOW | molab/Deepseek_OCR_2_(3B).py | 518 | CODE | |
| LOW | molab/Synthetic_Data_Hackathon.py | 274 | CODE | |
| LOW | molab/Llasa_TTS_(1B).py | 188 | CODE | |
| LOW | molab/Llasa_TTS_(1B).py | 202 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 270 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 456 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 723 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 277 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 730 | CODE | |
| LOW | molab/Gemma4_(E2B)_GRPO.py | 492 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 151 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 502 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 686 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 505 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 555 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 689 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 189 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 206 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 320 | CODE | |
| LOW | molab/NeMo-Gym-Sudoku.py | 159 | CODE | |
| LOW | molab/Zephyr_(7B)-DPO.py | 126 | CODE | |
| LOW | molab/Zephyr_(7B)-DPO.py | 137 | CODE | |
| LOW | molab/Zephyr_(7B)-DPO.py | 249 | CODE | |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 166 | CODE | |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 712 | CODE | |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 188 | CODE | |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 723 | CODE | |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 287 | CODE | |
| LOW | molab/gpt-oss-(20B)-GRPO.py | 293 | CODE | |
| 215 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | molab/gpt_oss_(20B)_GRPO_BF16.py | 230 | # Kernel generated by GPT-5 | STRING |
| HIGH | molab/gpt_oss_(20B)_GRPO_BF16.py | 378 | For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT | CODE |
| HIGH | molab/Gemma4_(E2B)_GRPO.py | 215 | # Kernel generated by GPT-5 | STRING |
| HIGH | molab/Gemma4_(E2B)_GRPO.py | 363 | For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT | CODE |
| HIGH | molab/gpt-oss-(20B)-GRPO.py | 238 | # Kernel generated by GPT-5 | STRING |
| HIGH | molab/gpt-oss-(20B)-GRPO.py | 386 | For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT | CODE |
| HIGH | molab/gpt-oss-(20B)_A100-GRPO.py | 238 | # Kernel generated by GPT-5 | STRING |
| HIGH | molab/gpt-oss-(20B)_A100-GRPO.py | 386 | For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT | CODE |
| HIGH | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 136 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 260 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 144 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 268 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Gemma4_(E2B)_GRPO.py | 134 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Gemma4_(E2B)_GRPO.py | 258 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(E2B)_GRPO.py | 144 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-Gemma4_(E2B)_GRPO.py | 268 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | …_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | …_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py | 136 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py | 260 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/gpt-oss-(20B)-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/gpt-oss-(20B)-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | …_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | …_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/gpt-oss-(20B)_A100-GRPO.py | 138 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/gpt-oss-(20B)_A100-GRPO.py | 262 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt_oss_(20B)_GRPO_BF16.py | 144 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt_oss_(20B)_GRPO_BF16.py | 268 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt-oss-(20B)-GRPO.py | 144 | # Kernel generated by GPT-5 | COMMENT |
| HIGH | python_scripts/AMD-gpt-oss-(20B)-GRPO.py | 268 | # For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5 | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | python_scripts/Kaggle-gpt-oss-(20B)-Fine-tuning.py | 165 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM⚡ | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 49 | # This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is l | COMMENT |
| MEDIUM⚡ | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 51 | # RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the ques | COMMENT |
| MEDIUM⚡ | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 53 | # > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131) | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 67 | # Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 85 | # We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will be | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.2_(1B)-RAFT.py | 208 | # We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT pap | COMMENT |
| MEDIUM | python_scripts/gpt-oss-(20B)-Fine-tuning.py | 165 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM | python_scripts/Openenv_wordle_grpo.py | 168 | # This function orchestrates the interaction between the model and the Wordle environment. For each prompt in the batch, | COMMENT |
| MEDIUM | python_scripts/gpt-oss-(120B)_A100-Fine-tuning.py | 165 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM⚡ | python_scripts/Llama3.2_(1B)-RAFT.py | 52 | # This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is l | COMMENT |
| MEDIUM⚡ | python_scripts/Llama3.2_(1B)-RAFT.py | 54 | # RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the ques | COMMENT |
| MEDIUM⚡ | python_scripts/Llama3.2_(1B)-RAFT.py | 56 | # > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131) | COMMENT |
| MEDIUM | python_scripts/Llama3.2_(1B)-RAFT.py | 70 | # Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex | COMMENT |
| MEDIUM | python_scripts/Llama3.2_(1B)-RAFT.py | 88 | # We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will be | COMMENT |
| MEDIUM | python_scripts/Llama3.2_(1B)-RAFT.py | 211 | # We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT pap | COMMENT |
| MEDIUM | python_scripts/AMD-gpt-oss-(120B)_A100-Fine-tuning.py | 173 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM | python_scripts/AMD-gpt-oss-(20B)-Fine-tuning.py | 173 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM | python_scripts/AMD-Openenv_wordle_grpo.py | 175 | # This function orchestrates the interaction between the model and the Wordle environment. For each prompt in the batch, | COMMENT |
| MEDIUM⚡ | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 52 | # This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is l | COMMENT |
| MEDIUM⚡ | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 54 | # RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the ques | COMMENT |
| MEDIUM⚡ | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 56 | # > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131) | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 70 | # Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 88 | # We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will be | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama3.2_(1B)-RAFT.py | 211 | # We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT pap | COMMENT |
| MEDIUM | …thon_scripts/Kaggle-gpt-oss-(120B)_A100-Fine-tuning.py | 165 | # The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging | COMMENT |
| MEDIUM | scripts/molab_dependencies.py | 624 | # scaffolding (``import os, re``, the ``if "COLAB_" ...`` | COMMENT |
| MEDIUM | scripts/molab_dependencies.py | 993 | # scaffolding-line entries (``import os, re``, ``if "COLAB_" ...``) | COMMENT |
| MEDIUM | scripts/molab_dependencies.py | 1010 | # get_dropped_deps from reporting scaffolding tokens as dropped dependencies. | COMMENT |
| MEDIUM | scripts/scan_packages.py | 181 | # Container / orchestration abuse | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | python_scripts/NeMo-Gym-Multi-Environment.py | 49 | # In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or paramet | COMMENT |
| HIGH | python_scripts/NeMo-Gym-Multi-Environment.py | 518 | # In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective r | COMMENT |
| HIGH | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 33 | # In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or paramet | COMMENT |
| HIGH | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 502 | # In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective r | COMMENT |
| HIGH | python_scripts/Openenv_wordle_grpo.py | 86 | # In this example, we'll connect to the hosted environment at [openenv/wordle](https://huggingface.co/spaces/openenv/wor | COMMENT |
| HIGH | python_scripts/AMD-bert_classification.py | 123 | # We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text | COMMENT |
| HIGH | python_scripts/NeMo-Gym-Sudoku.py | 47 | # In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or paramet | COMMENT |
| HIGH | python_scripts/NeMo-Gym-Sudoku.py | 459 | # In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective r | COMMENT |
| HIGH | python_scripts/bert_classification.py | 116 | # We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text | COMMENT |
| HIGH | python_scripts/AMD-Openenv_wordle_grpo.py | 93 | # In this example, we'll connect to the hosted environment at [openenv/wordle](https://huggingface.co/spaces/openenv/wor | COMMENT |
| HIGH | python_scripts/AMD-NeMo-Gym-Sudoku.py | 33 | # In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or paramet | COMMENT |
| HIGH | python_scripts/AMD-NeMo-Gym-Sudoku.py | 445 | # In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective r | COMMENT |
| HIGH | python_scripts/Kaggle-bert_classification.py | 116 | # We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | molab/Qwen3_VL_(8B)-Vision-GRPO.py | 248 | # Define the delimiter variables for clarity and easy modification | STRING |
| MEDIUM | molab/Qwen3_5_(4B)_Vision_GRPO.py | 241 | # Define the delimiter variables for clarity and easy modification | STRING |
| MEDIUM | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 336 | # Create an easy puzzle | STRING |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 339 | # Create an easy puzzle | STRING |
| MEDIUM | molab/Oute_TTS_(1B).py | 258 | Creates a v3-compatible speaker dictionary using Whisper and AudioProcessor. # Create a dummy ModelConfig m | CODE |
| MEDIUM | python_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py | 178 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Kaggle-Qwen3_VL_(8B)-Vision-GRPO.py | 150 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Qwen3_VL_(8B)-Vision-GRPO.py | 150 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py | 159 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Qwen2_5_7B_VL_GRPO.py | 176 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Qwen3_5_(4B)_Vision_GRPO.py | 146 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …cripts/HuggingFace Course-Qwen3_VL_(8B)-Vision-GRPO.py | 181 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Gemma3_(4B)-Vision-GRPO.py | 201 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 298 | # Create an easy puzzle | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 459 | # Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some other | STRING |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 673 | # Create the training dataset. | COMMENT |
| MEDIUM | python_scripts/AMD-Qwen2_5_7B_VL_GRPO.py | 162 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 290 | # Create an easy puzzle | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 451 | # Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some other | STRING |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 665 | # Create the training dataset. | COMMENT |
| MEDIUM | python_scripts/AMD-Qwen3_VL_(8B)-Vision-GRPO.py | 159 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 280 | # Create an easy puzzle | COMMENT |
| MEDIUM | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 441 | # Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some other | STRING |
| MEDIUM | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 659 | # Create the training dataset. | COMMENT |
| MEDIUM | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 285 | # Create an easy puzzle | COMMENT |
| MEDIUM | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 446 | # Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some other | STRING |
| MEDIUM | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 664 | # Create the training dataset. | COMMENT |
| MEDIUM | python_scripts/AMD-Gemma3_(4B)-Vision-GRPO.py | 187 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Kaggle-Qwen2_5_7B_VL_GRPO.py | 147 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 277 | # Create an easy puzzle | COMMENT |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 438 | # Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some other | STRING |
| MEDIUM | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 652 | # Create the training dataset. | COMMENT |
| MEDIUM | python_scripts/Oute_TTS_(1B).py | 146 | # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterface | COMMENT |
| MEDIUM | python_scripts/Kaggle-Gemma3_(4B)-Vision-GRPO.py | 172 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | …_scripts/HuggingFace Course-Gemma3_(4B)-Vision-GRPO.py | 203 | # Define the delimiter variables for clarity and easy modification | COMMENT |
| MEDIUM | python_scripts/Kaggle-Oute_TTS_(1B).py | 146 | # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterface | COMMENT |
| MEDIUM | python_scripts/AMD-Oute_TTS_(1B).py | 157 | # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterface | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_max_seq_length.py | 108 | # Check if this cell contains trainer code AND dataset_kwargs with skip_prepare_dataset | COMMENT |
| LOW | update_max_seq_length.py | 110 | # Check if max_seq_length exists in this cell | COMMENT |
| LOW | update_all_notebooks.py | 2555 | # Check if this line continues (ends with backslash) | COMMENT |
| LOW | update_all_notebooks.py | 5129 | # Check if the last cell already contains footer content using key markers | COMMENT |
| LOW | update_all_notebooks.py | 5140 | # Check if notebook has partial footer content but missing LGPL line | COMMENT |
| LOW | molab/Deepseek_OCR_2_(3B).py | 653 | } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are part | CODE |
| LOW | molab/Whisper.py | 171 | # Set this to the language you want to train on | STRING |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 289 | RESET = "\x1b[0m" # Check if placement is valid | CODE |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 304 | ): # Check if puzzle is complete | CODE |
| LOW | molab/Deepseek_OCR_(3B)-Evaluation.py | 772 | } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are part | CODE |
| LOW | molab/Deepseek_OCR_(3B).py | 656 | } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are part | CODE |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 292 | RESET = "\x1b[0m" # Check if placement is valid | CODE |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 307 | ): # Check if puzzle is complete | CODE |
| LOW | molab/Oute_TTS_(1B).py | 558 | continue # Check if penalties should be applied | STRING |
| LOW | molab/Deepseek_OCR_(3B)-Eval.py | 656 | } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are part | CODE |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B).py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Deepseek_OCR_2_(3B).py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py | 563 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py | 104 | # Check if it succeeded: | COMMENT |
| LOW | python_scripts/AMD-Meta_Synthetic_Data_Llama3_2_(3B).py | 86 | # Check if it succeeded: | COMMENT |
| LOW | …on_scripts/Kaggle-Meta_Synthetic_Data_Llama3_2_(3B).py | 73 | # Check if it succeeded: | COMMENT |
| LOW | python_scripts/Kaggle-Whisper.py | 105 | #Set this to the language you want to train on | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 230 | # Check if placement is valid | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 243 | # Check if puzzle is complete | COMMENT |
| LOW | python_scripts/AMD-Whisper.py | 112 | #Set this to the language you want to train on | COMMENT |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B)-Eval.py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/AMD-Deepseek_OCR_(3B)-Eval.py | 428 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Kaggle-Deepseek_OCR_2_(3B).py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 222 | # Check if placement is valid | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 235 | # Check if puzzle is complete | COMMENT |
| LOW | python_scripts/Whisper.py | 105 | #Set this to the language you want to train on | COMMENT |
| LOW | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 212 | # Check if placement is valid | COMMENT |
| LOW | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 225 | # Check if puzzle is complete | COMMENT |
| LOW | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 217 | # Check if placement is valid | COMMENT |
| LOW | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 230 | # Check if puzzle is complete | COMMENT |
| LOW | python_scripts/Deepseek_OCR_(3B)-Evaluation.py | 556 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Deepseek_OCR_(3B).py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 209 | # Check if placement is valid | COMMENT |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 222 | # Check if puzzle is complete | COMMENT |
| LOW | python_scripts/Oute_TTS_(1B).py | 437 | # Check if penalties should be applied | COMMENT |
| LOW | python_scripts/AMD-Deepseek_OCR_2_(3B).py | 428 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/AMD-Deepseek_OCR_(3B).py | 428 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Deepseek_OCR_(3B)-Eval.py | 421 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B)-Evaluation.py | 556 | # Check if this is the assistant's turn | COMMENT |
| LOW | python_scripts/Kaggle-Oute_TTS_(1B).py | 437 | # Check if penalties should be applied | COMMENT |
| LOW | python_scripts/AMD-Oute_TTS_(1B).py | 448 | # Check if penalties should be applied | COMMENT |
| LOW | scripts/fix_templates.py | 48 | # Check if import torch already exists | COMMENT |
| LOW | scripts/fix_templates.py | 65 | # Check if already has Version check | COMMENT |
| LOW | scripts/scan_packages.py | 1939 | # Check if any are git deps | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 182 | # Step 1: Clone NeMo Gym | STRING |
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 190 | # Step 2: Create venv and install dependencies | STRING |
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 280 | # Step 3: Create sudoku dataset | STRING |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 309 | # Step 4: Download instruction_following dataset | STRING |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 326 | # Step 5: Create resources_only.yaml for instruction_following if missing | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 176 | # Step 1: Clone NeMo Gym | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 184 | # Step 2: Create venv and install dependencies | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 274 | # Step 3: Create dataset | STRING |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 127 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 135 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 220 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 245 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 262 | # Step 5: Create resources_only.yaml for instruction_following if missing | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 111 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 119 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 204 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 229 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 246 | # Step 5: Create resources_only.yaml for instruction_following if missing | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 121 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 129 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 214 | # Step 3: Create dataset | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 107 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 115 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 200 | # Step 3: Create dataset | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 182 | # Step 1: Clone NeMo Gym | STRING |
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 190 | # Step 2: Create venv and install dependencies | STRING |
| LOW⚡ | molab/NeMo-Gym-Multi-Environment.py | 280 | # Step 3: Create sudoku dataset | STRING |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 309 | # Step 4: Download instruction_following dataset | STRING |
| LOW | molab/NeMo-Gym-Multi-Environment.py | 326 | # Step 5: Create resources_only.yaml for instruction_following if missing | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 176 | # Step 1: Clone NeMo Gym | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 184 | # Step 2: Create venv and install dependencies | STRING |
| LOW⚡ | molab/NeMo-Gym-Sudoku.py | 274 | # Step 3: Create dataset | STRING |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 127 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 135 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 220 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 245 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 262 | # Step 5: Create resources_only.yaml for instruction_following if missing | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 111 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 119 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 204 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 229 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 246 | # Step 5: Create resources_only.yaml for instruction_following if missing | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 121 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 129 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 214 | # Step 3: Create dataset | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 107 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 115 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/AMD-NeMo-Gym-Sudoku.py | 200 | # Step 3: Create dataset | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 464 | CODE | |
| LOW | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 366 | CODE | |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 155 | CODE | |
| LOW | python_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 359 | CODE | |
| LOW | python_scripts/Kaggle-Phi_4_(14B)-GRPO.py | 121 | CODE | |
| LOW | …n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py | 155 | CODE | |
| LOW | python_scripts/AMD-Llama3.1_(8B)-GRPO.py | 139 | CODE | |
| LOW | python_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py | 155 | CODE | |
| LOW | python_scripts/AMD-Mistral_v0.3_(7B)-GRPO.py | 139 | CODE | |
| LOW | python_scripts/Kaggle-Qwen2.5_(3B)-GRPO.py | 124 | CODE | |
| LOW | python_scripts/Kaggle-Mistral_v0.3_(7B)-GRPO.py | 124 | CODE | |
| LOW | …on_scripts/Kaggle-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 359 | CODE | |
| LOW | python_scripts/Llama3.1_(8B)-GRPO.py | 153 | CODE | |
| LOW | python_scripts/Kaggle-Llama3.1_(8B)-GRPO.py | 124 | CODE | |
| LOW | python_scripts/Qwen2.5_(3B)-GRPO.py | 153 | CODE | |
| LOW | python_scripts/AMD-Phi_4_(14B)-GRPO.py | 136 | CODE | |
| LOW | python_scripts/HuggingFace Course-Phi_4_(14B)-GRPO.py | 152 | CODE | |
| LOW | python_scripts/AMD-Qwen2.5_(3B)-GRPO.py | 139 | CODE | |
| LOW | python_scripts/Mistral_v0.3_(7B)-GRPO.py | 153 | CODE | |
| LOW | python_scripts/Phi_4_(14B)-GRPO.py | 150 | CODE | |
| LOW | scripts/molab_generate.py | 647 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | molab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 253 | Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain n | STRING |
| HIGH | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 180 | Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain n | STRING |
| HIGH | python_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 173 | Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain n | STRING |
| HIGH | …on_scripts/Kaggle-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 173 | Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain n | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | molab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 332 | def _update_state_after_change(self) -> None: | STRING |
| LOW | …lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 277 | def _update_state(self) -> None: | CODE |
| LOW | molab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 345 | def _update_state_after_change(self) -> None: | STRING |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 280 | def _update_state(self) -> None: | CODE |
| LOW | …ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py | 319 | def _update_state_after_change(self) -> None: | STRING |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 309 | def _update_state_after_change(self) -> None: | STRING |
| LOW | …s/AMD-Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 252 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 226 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 241 | def _update_state(self) -> None: | CODE |
| LOW | …ipts/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 229 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 233 | def _update_state(self) -> None: | CODE |
| LOW | …pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 223 | def _update_state(self) -> None: | CODE |
| LOW | …ripts/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py | 247 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py | 228 | def _update_state(self) -> None: | CODE |
| LOW | …/AMD-gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 239 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py | 239 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py | 220 | def _update_state(self) -> None: | CODE |
| LOW | …ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py | 222 | def _update_state_after_change(self) -> None: | CODE |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 218 | def _update_state_after_change(self) -> None: | CODE |
| LOW | scripts/scan_packages.py | 1878 | def update_req_file(filepath: str, updates: dict[int, str]) -> None: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | python_scripts/Muse_Glimmer_(30B)-Conversational.py | 556 | # A merged Muse Glimmer is around 56 GB on disk, so make sure you have the room. The merge itself needs | COMMENT |
| MEDIUM | python_scripts/Kaggle-Llama3.2_(11B)-Vision.py | 144 | # We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instruc | COMMENT |
| MEDIUM | python_scripts/AMD-Llama3.2_(11B)-Vision.py | 151 | # We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instruc | COMMENT |
| LOW | …on_scripts/Kaggle-Muse_Glimmer_(30B)-Conversational.py | 556 | # A merged Muse Glimmer is around 56 GB on disk, so make sure you have the room. The merge itself needs | COMMENT |
| MEDIUM | python_scripts/Llama3.2_(11B)-Vision.py | 144 | # We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instruc | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | molab/Whisper.py | 394 | # Example usage | STRING |
| LOW | python_scripts/Kaggle-Whisper.py | 292 | # Example usage | COMMENT |
| LOW | python_scripts/AMD-Whisper.py | 299 | # Example usage | COMMENT |
| LOW | python_scripts/Whisper.py | 292 | # Example usage | COMMENT |