250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.
This report summarizes scanner evidence for unslothai/notebooks, a Jupyter Notebook project with 5,735 GitHub stars. SynthScan examined 254,614 lines of code across 534 source files, recording 4926 pattern matches distributed across 22 syntactic categories. The legacy adjusted pattern signal is 35.8 (High pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 3410 finding(s).
Are imports declared and package/API names verified? 574 finding(s).
Are wrappers, guards, and repeated structures necessary? 1482 finding(s).
Which changes need focused human review? 4926 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 4926 distinct pattern matches across 22 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. 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 configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | calculate numbers for each cell based on adjacent mines | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | calculate numbers for each cell based on adjacent mines | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | calculate numbers for each cell based on adjacent mines | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | calculate numbers for each cell based on adjacent mines | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | reveal a cell. returns true if valid move, false if invalid. uses iterative flood-fill to avoid recursion limit on large | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | reveal a cell. returns true if valid move, false if invalid. uses iterative flood-fill to avoid recursion limit on large | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | reveal a cell. returns true if valid move, false if invalid. uses iterative flood-fill to avoid recursion limit on large | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | reveal a cell. returns true if valid move, false if invalid. uses iterative flood-fill to avoid recursion limit on large | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | flag/unflag a cell. returns true if valid, false if invalid | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | flag/unflag a cell. returns true if valid, false if invalid | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | flag/unflag a cell. returns true if valid, false if invalid | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | flag/unflag a cell. returns true if valid, false if invalid | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | execute an action and return a status string. returns one of: 'ok' - valid move executed 'mine' - revealed a mine (game | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | execute an action and return a status string. returns one of: 'ok' - valid move executed 'mine' - revealed a mine (game | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | execute an action and return a status string. returns one of: 'ok' - valid move executed 'mine' - revealed a mine (game | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | execute an action and return a status string. returns one of: 'ok' - valid move executed 'mine' - revealed a mine (game | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | you are playing minesweeper. analyze the game state and output your next move. game state: {json.dumps(state, indent = 2 | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | you are playing minesweeper. analyze the game state and output your next move. game state: {json.dumps(state, indent = 2 | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | you are playing minesweeper. analyze the game state and output your next move. game state: {json.dumps(state, indent = 2 | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | you are playing minesweeper. analyze the game state and output your next move. game state: {json.dumps(state, indent = 2 | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | extract json action from llm response. finds all json-like objects and returns the last one matching the expected schema | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | extract json action from llm response. finds all json-like objects and returns the last one matching the expected schema | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | extract json action from llm response. finds all json-like objects and returns the last one matching the expected schema | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | extract json action from llm response. finds all json-like objects and returns the last one matching the expected schema | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | check if revealing (row, col) is provably safe via constraint propagation. a cell is logically safe if there is at least | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | check if revealing (row, col) is provably safe via constraint propagation. a cell is logically safe if there is at least | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | check if revealing (row, col) is provably safe via constraint propagation. a cell is logically safe if there is at least | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | check if revealing (row, col) is provably safe via constraint propagation. a cell is logically safe if there is at least | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | clean reward function based on defined criteria. reward criteria: 1. flag cell that is a mine → +15 2. flag cell that is | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | clean reward function based on defined criteria. reward criteria: 1. flag cell that is a mine → +15 2. flag cell that is | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | clean reward function based on defined criteria. reward criteria: 1. flag cell that is a mine → +15 2. flag cell that is | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | clean reward function based on defined criteria. reward criteria: 1. flag cell that is a mine → +15 2. flag cell that is | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | generate exactly num_samples diverse minesweeper game states. mix of: - fresh games (20-30%) - mid-game states (70-80%) | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | generate exactly num_samples diverse minesweeper game states. mix of: - fresh games (20-30%) - mid-game states (70-80%) | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | generate exactly num_samples diverse minesweeper game states. mix of: - fresh games (20-30%) - mid-game states (70-80%) | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | generate exactly num_samples diverse minesweeper game states. mix of: - fresh games (20-30%) - mid-game states (70-80%) | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | periodically play games during training and log win rate. (issue #8: no validation / reward tracking in the original not | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | periodically play games during training and log win rate. (issue #8: no validation / reward tracking in the original not | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | periodically play games during training and log win rate. (issue #8: no validation / reward tracking in the original not | STRING |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 0 | periodically play games during training and log win rate. (issue #8: no validation / reward tracking in the original not | STRING |
| HIGH | python_scripts/Granite4.0_350M.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/Granite4.0.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0_350M.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/AMD-Granite4.0_350M.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/AMD-Granite4.0.py | 0 | user: everyone in my meeting just sees a black screen when i share. agent: sorry about that—are you sharing a window or | STRING |
| HIGH | python_scripts/Granite4.0_350M.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/Granite4.0.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0_350M.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/AMD-Granite4.0_350M.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/AMD-Granite4.0.py | 0 | user: i changed the batteries, but the lock app still says 5 % and won’t auto-lock. agent: let’s check firmware. in the | STRING |
| HIGH | python_scripts/Granite4.0_350M.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/Granite4.0.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0_350M.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/Kaggle-Granite4.0.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/AMD-Granite4.0_350M.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/AMD-Granite4.0.py | 0 | user: every invoice i download today opens as a blank pdf. agent: is this happening to historic invoices, new ones, or b | STRING |
| HIGH | python_scripts/Granite4.0_350M.py | 0 | user: my step count has been frozen at 4,237 since last night. agent: which phone are you syncing with? user: iphone 15, | STRING |
| HIGH | python_scripts/Granite4.0.py | 0 | user: my step count has been frozen at 4,237 since last night. agent: which phone are you syncing with? user: iphone 15, | STRING |
| 456 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_all_notebooks.py | 1 | # Unsloth Notebooks - Notebooks for Unsloth | COMMENT |
| LOW | update_all_notebooks.py | 121 | # import identical codec code. | COMMENT |
| LOW | update_all_notebooks.py | 161 | } | COMMENT |
| LOW | update_all_notebooks.py | 341 | PIN_TRANSFORMERS, | COMMENT |
| LOW | update_all_notebooks.py | 361 | # sets `UNSLOTH_VLLM_STANDBY = "1"` a few lines below, and with standby on | COMMENT |
| LOW | update_all_notebooks.py | 381 | # already-satisfied triton is left alone. | COMMENT |
| LOW | update_all_notebooks.py | 801 | !pip install --no-deps unsloth_zoo bitsandbytes accelerate peft trl triton unsloth | COMMENT |
| LOW | update_all_notebooks.py | 881 | # uv pip install --system --no-deps "torchao>=0.16.0,<0.18.0" | COMMENT |
| LOW | update_all_notebooks.py | 1001 | # No `causal_conv1d`. Its wheels track one exact torch, so on any other torch | COMMENT |
| LOW | update_all_notebooks.py | 1041 | !uv pip install -qqq transformers==5.15.1 | COMMENT |
| LOW | update_all_notebooks.py | 1061 | # trl 0.25.1, NOT the 0.22.2 the Qwen3.8 block pins, and the difference is one | COMMENT |
| LOW | update_all_notebooks.py | 1101 | # torchvision ("PyTorch has CUDA Version=13.0 and torchvision has CUDA | COMMENT |
| LOW | update_all_notebooks.py | 4021 | COMMENT | |
| LOW | update_all_notebooks.py | 5141 | # the underscore in "Qwen3_8B_FP8_GRPO" -- an unrelated | COMMENT |
| LOW | update_all_notebooks.py | 5921 | # multiple lines in the rendered Markdown table. | COMMENT |
| LOW | update_all_notebooks.py | 6181 | # (e.g. "GRPO + vLLM") always sort above non-vLLM rows in | COMMENT |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 321 | # | COMMENT |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 1001 | # - Increase rewards for logical deduction | COMMENT |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 1021 | # ## Useful Strategies: | COMMENT |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 1041 | # | COMMENT |
| LOW | python_scripts/AMD-Pixtral_(12B)-Vision.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/AMD-Pixtral_(12B)-Vision.py | 21 | # </p> | COMMENT |
| LOW | python_scripts/AMD-Pixtral_(12B)-Vision.py | 121 | # [ | COMMENT |
| LOW | python_scripts/AMD-Pixtral_(12B)-Vision.py | 321 | # Select ONLY 1 to save! (Both not needed!) | COMMENT |
| LOW | python_scripts/AMD-Pixtral_(12B)-Vision.py | 341 | # <a href="https://discord.gg/unsloth"><img src="https://github.com/unslothai/unsloth/raw/main/images/Discord.png" wid | COMMENT |
| LOW | python_scripts/AMD-Gemma3_(4B).py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/AMD-Gemma3_(4B).py | 21 | # </p> | COMMENT |
| LOW | python_scripts/AMD-Gemma3_(4B).py | 101 | # <a name="Data"></a> | COMMENT |
| LOW | python_scripts/AMD-Gemma3_(4B).py | 421 | token = "YOUR_HF_TOKEN", | COMMENT |
| LOW | python_scripts/AMD-Gemma3_(4B).py | 441 | # </div> | COMMENT |
| LOW | python_scripts/Qwen3_Embedding_(0_6B).py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/Qwen3_Embedding_(0_6B).py | 21 | # </p> | COMMENT |
| LOW | python_scripts/Qwen3_Embedding_(0_6B).py | 321 | quantization_method = ["q4_k_m", "q8_0", "q5_k_m",], | COMMENT |
| LOW | python_scripts/Qwen3_Embedding_(0_6B).py | 341 | # | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 21 | # </p> | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 101 | ) | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 121 | # | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 141 | # 3. Use it to train or prompt an LLM | COMMENT |
| LOW | python_scripts/Granite4.0_350M.py | 561 | # 3. Llama 3.2 Vision finetuning - Radiography use case. [Free Colab](https://colab.research.google.com/github/unslothai | COMMENT |
| LOW | python_scripts/Kaggle-Mistral_Nemo_(12B)-Alpaca.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/Kaggle-Mistral_Nemo_(12B)-Alpaca.py | 21 | # </p> | COMMENT |
| LOW | python_scripts/Kaggle-Mistral_Nemo_(12B)-Alpaca.py | 341 | # Some supported quant methods (full list on our [docs page](https://unsloth.ai/docs/basics/inference-and-deployment/sav | COMMENT |
| LOW | python_scripts/Kaggle-Mistral_Nemo_(12B)-Alpaca.py | 381 | # 4. Explore our [LLM Tutorials Directory](https://unsloth.ai/docs/models/tutorials-how-to-fine-tune-and-run-llms) to fi | COMMENT |
| LOW | python_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py | 21 | # </p> | COMMENT |
| LOW | python_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py | 401 | COMMENT | |
| LOW | python_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py | 441 | # | COMMENT |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 21 | # | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 81 | # | [`unsloth/Qwen3.8-27B-unsloth-bnb-4bit`](https://huggingface.co/unsloth/Qwen3.8-27B-unsloth-bnb-4bit) | pre-quantise | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 181 | ) | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 241 | # </think> | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 561 | # | COMMENT |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 701 | COMMENT | |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 721 | # 1. [Unsloth Reinforcement Learning docs](https://unsloth.ai/docs/get-started/reinforcement-learning-rl-guide) for GSPO | COMMENT |
| LOW | python_scripts/AMD-CodeGemma_(7B)-Conversational.py | 1 | #!/usr/bin/env python | COMMENT |
| LOW | python_scripts/AMD-CodeGemma_(7B)-Conversational.py | 21 | # </p> | COMMENT |
| 2282 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH⚡ | update_all_notebooks.py | 823 | ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2, | CODE |
| HIGH⚡ | update_all_notebooks.py | 823 | ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2, | CODE |
| HIGH | update_all_notebooks.py | 565 | installation_spark_content = installation_content + f"""\n!git clone https://github.com/SparkAudio/Spark-TTS && git -C S | CODE |
| HIGH | update_all_notebooks.py | 567 | installation_spark_kaggle_content = installation_kaggle_content + f"""\n!git clone https://github.com/SparkAudio/Spark-T | CODE |
| HIGH | update_all_notebooks.py | 600 | !rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTS && git -C OuteTTS checkout --quiet {PIN_OUTETTS_REF} | CODE |
| HIGH | update_all_notebooks.py | 610 | !rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTS && git -C OuteTTS checkout --quiet {PIN_OUTETTS_REF} | CODE |
| HIGH | update_all_notebooks.py | 1171 | !pip install transformers==4.57.6 && pip install --no-deps trl==0.22.2""".replace( | CODE |
| HIGH | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 26 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | …)_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 | 223 | "source .venv/bin/activate && python " | CODE |
| HIGH | python_scripts/NeMo-Gym-Multi-Environment.py | 281 | "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 | python_scripts/AMD-Qwen3_(4B)-GRPO-Tool_Use.py | 39 | # ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($ | 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="$({ comm | COMMENT |
| HIGH | python_scripts/AMD-FunctionGemma_(270M)-LMStudio.py | 31 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| HIGH | python_scripts/AMD-FunctionGemma_(270M)-LMStudio.py | 31 | get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ comman | CODE |
| 130 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 | 6491 | def copy_and_update_notebooks( | CODE |
| LOW | update_all_notebooks.py | 188 | def build_vllm_torchao_spec_block(indent=""): | CODE |
| LOW | update_all_notebooks.py | 211 | def _qat_torchao_fallback_snippet(default_torchao=None): | CODE |
| LOW | update_all_notebooks.py | 249 | def build_qat_native_install_block( | CODE |
| LOW | update_all_notebooks.py | 293 | def update_or_append_pip_install(base_content, package_name, new_install_line): | CODE |
| LOW | update_all_notebooks.py | 1770 | def _should_skip_readme_notebook(path): | CODE |
| LOW | update_all_notebooks.py | 1819 | def _file_has_trailing_newline(filepath): | CODE |
| LOW | update_all_notebooks.py | 1891 | def _restore_original_outputs(filepath): | CODE |
| LOW | update_all_notebooks.py | 1918 | def _normalize_lgpl_blank_line(filepath): | CODE |
| LOW | update_all_notebooks.py | 2162 | def _owns_extra_grpo_install_cell(notebook_path, cells, idx): | CODE |
| LOW | update_all_notebooks.py | 2206 | def _is_extra_grpo_install_cell(cells, idx): | CODE |
| LOW | update_all_notebooks.py | 2228 | def _defer_torch_imports_past_downgrade(install_text): | CODE |
| LOW | update_all_notebooks.py | 2325 | def _adjacent_install_like_code_cells(cells, first_code_idx): | CODE |
| LOW | update_all_notebooks.py | 2371 | def _is_residual_non_amd_install_cell(cells, idx, source_text): | CODE |
| LOW | update_all_notebooks.py | 2387 | def _is_stale_amd_announcement(source_text): | CODE |
| LOW | update_all_notebooks.py | 2405 | def _validate_vllm_install_usage(notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2438 | def _assert_vllm_install_usage_or_fast_inference(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2470 | def _validate_amd_install_package_parity(amd_notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2509 | def _assert_amd_install_package_parity(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2538 | def _validate_amd_install_runtime(notebook_path): | CODE |
| LOW | update_all_notebooks.py | 2595 | def _assert_amd_install_runtime(notebook_files, max_workers=1, executor_type="process"): | CODE |
| LOW | update_all_notebooks.py | 2620 | def _get_base_name_from_filename(filename): | CODE |
| LOW | update_all_notebooks.py | 2672 | def _strip_extra_trailing_blank_lines(lines): | CODE |
| LOW | update_all_notebooks.py | 3185 | def _is_preserved_uninstall_line(raw_line): | CODE |
| LOW | update_all_notebooks.py | 3221 | def _iter_pip_install_arg_strings(text): | CODE |
| LOW | update_all_notebooks.py | 3239 | def _package_key_from_install_token(token): | CODE |
| LOW | update_all_notebooks.py | 3284 | def _extract_install_package_groups(text): | CODE |
| LOW | update_all_notebooks.py | 3362 | def _extract_install_package_names_from_text(text): | CODE |
| LOW | update_all_notebooks.py | 3399 | def _extract_preserved_setup_lines(text): | CODE |
| LOW | update_all_notebooks.py | 3452 | def _extract_git_main_unsloth_specs(source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3478 | def _extract_forced_unsloth_release_specs(source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3533 | def _build_qat_version_vars_block(): | CODE |
| LOW | update_all_notebooks.py | 3559 | def _pin_qat_numpy_beside_fbgemm(merged_groups): | CODE |
| LOW | update_all_notebooks.py | 3663 | def _compose_amd_installation(notebook_path, source_install_texts): | CODE |
| LOW | update_all_notebooks.py | 3795 | def _prepend_missing_stdlib_imports(cell_text): | CODE |
| LOW | update_all_notebooks.py | 3818 | def _append_missing_amd_install_groups(new_install_text, source_install_text): | CODE |
| LOW | update_all_notebooks.py | 3859 | def extract_model_info_refined(filename, architecture_mapping, known_types_ordered): | CODE |
| LOW | update_all_notebooks.py | 4484 | def refresh_model_created_cache(notebook_paths, cache_path=_MODEL_CREATED_CACHE_PATH): | CODE |
| LOW | update_all_notebooks.py | 5573 | def _should_fallback_process_error(exc): | CODE |
| LOW | update_all_notebooks.py | 5594 | def _can_use_process_executor(): | CODE |
| LOW | update_all_notebooks.py | 6165 | def _make_section_row_sort_key(section_name): | CODE |
| LOW | update_all_notebooks.py | 6630 | def copy_and_update_amd_notebooks( | CODE |
| LOW | update_all_notebooks.py | 6763 | def convert_notebook_to_script(notebook_path: str, output_path: str): | CODE |
| LOW | update_all_notebooks.py | 6838 | def _ensure_memory_stats_hidden(nb_path): | CODE |
| LOW | update_all_notebooks.py | 4151 | def notebook_uses_fast_inference(notebook_path): | STRING |
| LOW | update_all_notebooks.py | 4258 | def extract_hf_model_refs_from_notebook(notebook_path): | STRING |
| LOW | update_all_notebooks.py | 4321 | def _load_model_created_cache(cache_path=_MODEL_CREATED_CACHE_PATH): | STRING |
| LOW | update_all_notebooks.py | 4365 | def _write_model_created_cache(cache, cache_path=_MODEL_CREATED_CACHE_PATH): | STRING |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 210 | def check_only_stdlib_imports(code: str): | CODE |
| LOW | python_scripts/AMD-Spark_TTS_(0_5B).py | 337 | def generate_speech_from_text( | CODE |
| LOW | python_scripts/FunctionGemma_(270M).py | 349 | def prepare_messages_and_tools(example): | CODE |
| LOW | python_scripts/LFM2.5_(1.2B)-GRPO.py | 418 | def match_format_approximately(completions, **kwargs): | CODE |
| LOW | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 577 | def get_usd_to_euro_conversion_rate() -> float: | CODE |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 172 | def strict_format_reward_func(completions, **kwargs) -> list[float]: | STRING |
| LOW | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 508 | def match_format_approximately(completions, **kwargs): | CODE |
| LOW | python_scripts/Muse_Glimmer_(30B)-Multimodal.py | 301 | def _extract_images_videos_for_example(self, example, messages): | CODE |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B).py | 301 | def calculate_image_token_count(self, image: Image.Image, crop_ratio: Tuple[int, int]) -> int: | CODE |
| LOW | python_scripts/Deepseek_OCR_2_(3B).py | 301 | def calculate_image_token_count(self, image: Image.Image, crop_ratio: Tuple[int, int]) -> int: | CODE |
| LOW | python_scripts/Llama_FP8_GRPO.py | 505 | def match_format_approximately(completions, **kwargs): | CODE |
| 461 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | python_scripts/Granite4.0_350M.py | 158 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 51 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 111 | CODE | |
| LOW | python_scripts/Kaggle-Qwen3.8_(27B)-GRPO.py | 63 | CODE | |
| LOW | python_scripts/Gemma4_(E2B)-Text.py | 140 | CODE | |
| LOW | python_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py | 82 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(26B_A4B)-Vision.py | 140 | CODE | |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 330 | CODE | |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 116 | CODE | |
| LOW | python_scripts/AMD-Spark_TTS_(0_5B).py | 130 | CODE | |
| LOW | python_scripts/AMD-Spark_TTS_(0_5B).py | 132 | CODE | |
| LOW | python_scripts/AMD-Spark_TTS_(0_5B).py | 331 | CODE | |
| LOW | python_scripts/AMD-Spark_TTS_(0_5B).py | 331 | CODE | |
| LOW | python_scripts/Gemma4_(12B)_Text.py | 141 | CODE | |
| LOW | python_scripts/AMD-Gemma3_(4B)-Vision.py | 142 | CODE | |
| LOW | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 65 | CODE | |
| LOW | python_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 489 | CODE | |
| LOW | python_scripts/Kaggle-Qwen3_VL_(8B)-Vision-GRPO.py | 53 | CODE | |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 49 | CODE | |
| LOW | …gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py | 108 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(12B)_Text.py | 145 | CODE | |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 77 | CODE | |
| LOW | python_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py | 78 | CODE | |
| LOW | python_scripts/AMD-NeMo-Gym-Multi-Environment.py | 106 | CODE | |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B).py | 231 | CODE | |
| LOW | python_scripts/Granite4.0.py | 152 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(12B)_Audio.py | 112 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(12B)_Audio.py | 128 | CODE | |
| LOW | python_scripts/Kaggle-ERNIE_4_5_VL_28B_A3B_PT_Vision.py | 138 | CODE | |
| LOW | python_scripts/Kaggle-ERNIE_4_5_VL_28B_A3B_PT_Vision.py | 246 | CODE | |
| LOW | python_scripts/Kaggle-ERNIE_4_5_VL_28B_A3B_PT_Vision.py | 246 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(E2B)-Text.py | 144 | CODE | |
| LOW | python_scripts/Deepseek_OCR_2_(3B).py | 231 | CODE | |
| LOW | python_scripts/Kaggle-Mistral_v0.3_(7B)-CPT.py | 171 | CODE | |
| LOW | python_scripts/Kaggle-Mistral_v0.3_(7B)-CPT.py | 285 | CODE | |
| LOW | python_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 58 | CODE | |
| LOW | python_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py | 482 | CODE | |
| LOW | python_scripts/Sesame_CSM_(1B)-TTS.py | 89 | CODE | |
| LOW | python_scripts/Sesame_CSM_(1B)-TTS.py | 90 | CODE | |
| LOW | python_scripts/AMD-Qwen3_(4B)-GRPO-Tool_Use.py | 86 | CODE | |
| LOW | …CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.py | 139 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 56 | CODE | |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 116 | CODE | |
| LOW | python_scripts/Synthetic_Data_Hackathon.py | 322 | CODE | |
| LOW | python_scripts/Kaggle-GPT_OSS_MXFP4_(20B)-Inference.py | 49 | CODE | |
| LOW | python_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py | 368 | CODE | |
| LOW | python_scripts/Qwen3_VL_(8B)-Vision-GRPO.py | 53 | CODE | |
| LOW | python_scripts/Gemma4_(E4B)-Text.py | 141 | CODE | |
| LOW | python_scripts/Kaggle-Phi_4_(14B)-GRPO.py | 46 | CODE | |
| LOW | python_scripts/Kaggle-Phi_4_(14B)-GRPO.py | 47 | CODE | |
| LOW | …n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py | 78 | CODE | |
| LOW | python_scripts/Kaggle-Qwen3_VL_(8B)-Vision.py | 135 | CODE | |
| LOW | python_scripts/Kaggle-Zephyr_(7B)-DPO.py | 54 | CODE | |
| LOW | python_scripts/Kaggle-Zephyr_(7B)-DPO.py | 341 | CODE | |
| LOW | python_scripts/Qwen3_5_(2B)_Vision.py | 135 | CODE | |
| LOW | python_scripts/AMD-Llama3_(8B)-ORPO.py | 52 | CODE | |
| LOW | python_scripts/AMD-Gemma3N_(4B)-Vision.py | 144 | CODE | |
| LOW | python_scripts/AMD-Gemma4_(E4B)-Vision.py | 140 | CODE | |
| LOW | python_scripts/AMD-LFM2.5_(1.2B)-Text_Completion.py | 140 | CODE | |
| LOW | python_scripts/AMD-LFM2.5_(1.2B)-Text_Completion.py | 141 | CODE | |
| 324 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_all_notebooks.py | 395 | # If you're not in Colab, just use pip install or uv pip install | COMMENT |
| LOW | update_all_notebooks.py | 405 | # If you're not in Colab, just use pip install! | COMMENT |
| LOW | update_all_notebooks.py | 506 | # If you're not in Colab, just use pip install! | COMMENT |
| MEDIUM | update_all_notebooks.py | 890 | # harness cannot execute. AMD-Llasa therefore still installs whatever torchao | STRING |
| 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 |
| MEDIUM | python_scripts/AMD-Qwen3_(0_6B)-Phone_Deployment.py | 80 | # 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset i | COMMENT |
| 86 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 | 5456 | print(f"Error: Notebook not found at {notebook_path}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 5458 | print(f"Error: Invalid JSON in notebook at {notebook_path}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6482 | print(f"Error: README file '{readme_path}' not found.") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6484 | print(f"Error processing README: {ve}") | CODE |
| MEDIUM⚡ | update_all_notebooks.py | 6486 | print(f"An error occurred while updating {readme_path}: {e}") | CODE |
| MEDIUM | update_all_notebooks.py | 5915 | print(f"Error processing {notebook_name}: {e}") | CODE |
| MEDIUM | update_all_notebooks.py | 2405 | def _validate_vllm_install_usage(notebook_path): | CODE |
| MEDIUM | update_all_notebooks.py | 3232 | def _split_pip_args(arg_string): | CODE |
| MEDIUM | update_all_notebooks.py | 4453 | def _safe_int(v): | CODE |
| MEDIUM | update_all_notebooks.py | 6859 | def _apply_global_fixes(nb_path): | CODE |
| LOW⚡ | update_all_notebooks.py | 5459 | except Exception as e: | CODE |
| LOW⚡ | update_all_notebooks.py | 6485 | 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 | 223 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 245 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 274 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 288 | except Exception: _qat_index = "" | CODE |
| LOW | update_all_notebooks.py | 1036 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1887 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1914 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 1933 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 2064 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 2744 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 3546 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 3892 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4437 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4448 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4626 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4732 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5613 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5623 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5689 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 5726 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 5833 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 5914 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6247 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6251 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6662 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 6855 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 6891 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 6992 | except Exception as e: | CODE |
| LOW | update_all_notebooks.py | 7152 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7170 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7273 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 7295 | except Exception: | CODE |
| LOW | update_all_notebooks.py | 4360 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 389 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 406 | except Exception as e: | STRING |
| LOW | …nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py | 578 | except Exception as e: | STRING |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 202 | except Exception: | CODE |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 309 | except Exception as e: | STRING |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 373 | except Exception as e: | STRING |
| LOW | python_scripts/FunctionGemma_(270M).py | 418 | except Exception: | CODE |
| 243 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | update_all_notebooks.py | 1814 | except (OSError, UnicodeDecodeError): | CODE |
| HIGH | update_all_notebooks.py | 1914 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 1933 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 5689 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 6662 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 6855 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 6895 | except OSError: | CODE |
| HIGH | update_all_notebooks.py | 6989 | except FileNotFoundError: | CODE |
| HIGH | update_all_notebooks.py | 7273 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 7295 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 3892 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 7152 | except Exception: | CODE |
| HIGH | update_all_notebooks.py | 7170 | except Exception: | CODE |
| HIGH | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 202 | except Exception: | CODE |
| HIGH | python_scripts/FunctionGemma_(270M).py | 418 | except Exception: | CODE |
| HIGH | python_scripts/AMD-FunctionGemma_(270M).py | 425 | except Exception: | CODE |
| HIGH | python_scripts/AMD-Qwen3_(4B)-GRPO-Tool_Use.py | 345 | except json.JSONDecodeError: pass | CODE |
| HIGH | python_scripts/Kaggle-Qwen3_(4B)-Tool_Calling.py | 274 | except json.JSONDecodeError: pass | CODE |
| HIGH | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 210 | except Exception: | CODE |
| HIGH | python_scripts/Gemma4_(E2B)_GRPO.py | 200 | except Exception: | CODE |
| HIGH | python_scripts/AMD-FunctionGemma_(270M)-LMStudio.py | 420 | except Exception: | CODE |
| HIGH | python_scripts/Kaggle-Llama3_(8B)-Ollama.py | 476 | except requests.exceptions.RequestException: | CODE |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/Kaggle-gpt-oss-(20B)-GRPO.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/AMD-Gemma4_(E2B)_GRPO.py | 210 | except Exception: | CODE |
| HIGH | python_scripts/Qwen3_(4B)-GRPO-Tool_Use.py | 358 | except json.JSONDecodeError: pass | CODE |
| HIGH | …_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/AMD-Qwen3_(4B)-Tool_Calling.py | 290 | except json.JSONDecodeError: pass | CODE |
| HIGH | python_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py | 202 | except Exception: | CODE |
| HIGH | python_scripts/Qwen3_(4B)-Tool_Calling.py | 276 | except json.JSONDecodeError: pass | CODE |
| HIGH | python_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/gpt-oss-(20B)-GRPO.py | 204 | except Exception: | CODE |
| HIGH | …scripts/HuggingFace Course-Qwen3_(4B)-GRPO-Tool_Use.py | 360 | except json.JSONDecodeError: pass | CODE |
| HIGH | …_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/Llama3_(8B)-Ollama.py | 476 | except requests.exceptions.RequestException: | CODE |
| HIGH | python_scripts/gpt-oss-(20B)_A100-GRPO.py | 204 | except Exception: | CODE |
| HIGH | python_scripts/FunctionGemma_(270M)-LMStudio.py | 415 | except Exception: | CODE |
| HIGH | python_scripts/AMD-gpt_oss_(20B)_GRPO_BF16.py | 210 | except Exception: | CODE |
| HIGH | python_scripts/AMD-gpt-oss-(20B)-GRPO.py | 210 | except Exception: | CODE |
| HIGH | python_scripts/Kaggle-Qwen3_(4B)-GRPO-Tool_Use.py | 342 | except json.JSONDecodeError: pass | CODE |
| HIGH | python_scripts/AMD-Llama3_(8B)-Ollama.py | 483 | except requests.exceptions.RequestException: | CODE |
| HIGH | tests/conftest.py | 163 | except Exception: | CODE |
| HIGH | tests/conftest.py | 123 | except Exception: | CODE |
| HIGH | tests/conftest.py | 130 | except Exception: | CODE |
| HIGH | tests/conftest.py | 54 | except Exception: | CODE |
| HIGH | scripts/scan_packages.py | 1711 | except ValueError: | CODE |
| HIGH | scripts/scan_packages.py | 1825 | except OSError: | CODE |
| HIGH | scripts/scan_packages.py | 1915 | except OSError: | CODE |
| HIGH | scripts/scan_packages.py | 2183 | except OSError: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| 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⚡ | update_all_notebooks.py | 808 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | update_all_notebooks.py | 818 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | update_all_notebooks.py | 4022 | # ============================================================================ | COMMENT |
| MEDIUM | update_all_notebooks.py | 4024 | # ============================================================================ | 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_notebook_api_drift.py | 68 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 70 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 262 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 264 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 343 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 345 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 365 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 367 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 414 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 416 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 436 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/test_notebook_api_drift.py | 445 | # =========================================================================== | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 27 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 29 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 85 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 87 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 126 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 128 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 201 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | tests/security/test_scan_packages.py | 203 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 406 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 408 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 418 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 420 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 1374 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | scripts/scan_packages.py | 1376 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 59 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 61 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 77 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 79 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 552 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 554 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 746 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 748 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 885 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 887 | # --------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 980 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 982 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1168 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1170 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1571 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1573 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1647 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1649 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1695 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 1697 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 2018 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 2020 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 2058 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | scripts/scan_packages.py | 2060 | # --------------------------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | update_all_notebooks.py | 1805 | CODE | |
| LOW | update_all_notebooks.py | 2059 | CODE | |
| LOW | update_all_notebooks.py | 2228 | CODE | |
| LOW | update_all_notebooks.py | 2620 | CODE | |
| LOW | update_all_notebooks.py | 2679 | CODE | |
| LOW | update_all_notebooks.py | 2739 | CODE | |
| LOW | update_all_notebooks.py | 3362 | CODE | |
| LOW | update_all_notebooks.py | 3399 | CODE | |
| LOW | update_all_notebooks.py | 3478 | CODE | |
| LOW | update_all_notebooks.py | 3663 | CODE | |
| LOW | update_all_notebooks.py | 3859 | CODE | |
| LOW | update_all_notebooks.py | 4258 | CODE | |
| LOW | update_all_notebooks.py | 4321 | CODE | |
| LOW | update_all_notebooks.py | 4757 | CODE | |
| LOW | update_all_notebooks.py | 5699 | CODE | |
| LOW | update_all_notebooks.py | 5814 | CODE | |
| LOW | update_all_notebooks.py | 6791 | CODE | |
| LOW | update_all_notebooks.py | 6838 | CODE | |
| LOW | update_all_notebooks.py | 6899 | CODE | |
| LOW | update_all_notebooks.py | 2909 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 449 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 499 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 656 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 124 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 141 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 266 | CODE | |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 181 | CODE | |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 527 | CODE | |
| LOW | python_scripts/gpt_oss_(20B)_GRPO_BF16.py | 359 | CODE | |
| LOW | python_scripts/FunctionGemma_(270M).py | 349 | CODE | |
| LOW | python_scripts/LFM2.5_(1.2B)-GRPO.py | 438 | CODE | |
| LOW | python_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py | 530 | CODE | |
| LOW | python_scripts/Muse_Glimmer_(30B)-Multimodal.py | 301 | CODE | |
| LOW | python_scripts/Kaggle-Deepseek_OCR_(3B).py | 388 | CODE | |
| LOW | python_scripts/Kaggle-ERNIE_4_5_VL_28B_A3B_PT_Vision.py | 265 | CODE | |
| LOW | python_scripts/Deepseek_OCR_2_(3B).py | 388 | CODE | |
| LOW | python_scripts/Llama_FP8_GRPO.py | 527 | CODE | |
| LOW | python_scripts/AMD-FunctionGemma_(270M).py | 356 | CODE | |
| LOW | python_scripts/Kaggle-Qwen3_(4B)-Tool_Calling.py | 121 | CODE | |
| LOW | python_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py | 527 | CODE | |
| LOW | python_scripts/Llasa_TTS_(1B).py | 129 | CODE | |
| LOW | python_scripts/Kaggle-Zephyr_(7B)-DPO.py | 83 | CODE | |
| LOW | python_scripts/Kaggle-Zephyr_(7B)-DPO.py | 197 | CODE | |
| LOW | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 189 | CODE | |
| LOW | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 535 | CODE | |
| LOW | python_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py | 367 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 441 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 491 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 648 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 116 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 133 | CODE | |
| LOW | …)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py | 258 | CODE | |
| LOW | python_scripts/Kaggle-Qwen3_(4B)-GRPO.py | 425 | CODE | |
| LOW | python_scripts/Gemma4_(E2B)_GRPO.py | 179 | CODE | |
| LOW | python_scripts/Gemma4_(E2B)_GRPO.py | 531 | CODE | |
| LOW | python_scripts/Gemma4_(E2B)_GRPO.py | 357 | CODE | |
| LOW | python_scripts/AMD-FunctionGemma_(270M)-LMStudio.py | 351 | CODE | |
| LOW | python_scripts/AMD-LFM2.5_(1.2B)-GRPO.py | 418 | CODE | |
| LOW | python_scripts/Kaggle-Gemma3_(1B)-GRPO.py | 234 | CODE | |
| LOW | python_scripts/Kaggle-Llama_FP8_GRPO.py | 498 | CODE | |
| 140 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | python_scripts/NeMo-Gym-Multi-Environment.py | 43 | # 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 | 508 | # 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 | 41 | # 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 | 451 | # 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 | 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/scan_packages.py | 181 | # Container / orchestration abuse | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| 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 | 2696 | # Check if this line continues (ends with backslash) | COMMENT |
| LOW | update_all_notebooks.py | 5374 | # Check if the last cell already contains footer content using key markers | COMMENT |
| LOW | update_all_notebooks.py | 5385 | # Check if notebook has partial footer content but missing LGPL line | COMMENT |
| 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⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 121 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 129 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 214 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 239 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 256 | # 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 | 115 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 123 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 208 | # 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⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 121 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 129 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Multi-Environment.py | 214 | # Step 3: Create sudoku dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 239 | # Step 4: Download instruction_following dataset | COMMENT |
| LOW | python_scripts/NeMo-Gym-Multi-Environment.py | 256 | # 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 | 115 | # Step 1: Clone NeMo Gym | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 123 | # Step 2: Create venv and install dependencies | COMMENT |
| LOW⚡ | python_scripts/NeMo-Gym-Sudoku.py | 208 | # 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 | 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 |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| 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 | …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 | 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 |