Repository Analysis

unslothai/notebooks

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

57.3 Strong AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of unslothai/notebooks, a Jupyter Notebook project with 5,639 GitHub stars. SynthScan v2.0 examined 345,598 lines of code across 659 source files, recording 7447 pattern matches distributed across 21 syntactic categories. The overall adjusted score of 57.3 places this repository in the Strong AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

57.3
Adjusted Score
57.3
Raw Score
100%
Time Factor
2026-08-27
Last Push
5.6K
Stars
Jupyter Notebook
Language
345.6K
Lines of Code
659
Files
7.4K
Pattern Hits
2026-08-29
Scan Date
4.23
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 2785MEDIUM 375LOW 4287

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 7447 distinct pattern matches across 21 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Cross-File Repetition2538 hits · 12690 pts
SeverityFileLineSnippetContext
HIGHupdate_all_notebooks.py0introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free STRING
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py0introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free STRING
HIGHmolab/gpt-oss-(20B)-GRPO.py0introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free STRING
HIGHmolab/gpt-oss-(20B)_A100-GRPO.py0introducing **[unsloth desktop](https://unsloth.ai/docs/desktop)**, the first desktop app to run and train models. free STRING
HIGHmolab/Qwen3_Embedding_(0_6B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Granite4.0_350M.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma4_(E2B)-Text.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/FunctionGemma_(270M).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3_(270M)_Phone_Deployment.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Liquid_LFM2_(1.2B)-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3.2_(1B_and_3B)-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Pixtral_(12B)-Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Granite4.0.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Deepseek_OCR_2_(3B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Sesame_CSM_(1B)-TTS.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llasa_TTS_(1B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Mistral_Nemo_(12B)-Alpaca.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_5_(2B)_Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma2_(9B)-Alpaca.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/gpt-oss-(20B)-Fine-tuning.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma4_(E4B)-Audio.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Phi_3_Medium-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3.1_(8B)-Alpaca.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma4_(E2B)_GRPO.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_(14B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Spark_TTS_(0_5B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3_(270M).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/ModernBert.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3_(4B)-Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3.2_(11B)-Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_(4B)-Instruct.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3.2_(1B)-RAFT.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen2.5_(7B)-Alpaca.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_(4B)-Thinking.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_5_(4B)_Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/FunctionGemma_(270M)-Mobile-Actions.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3_(8B)-ORPO.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3_(8B)-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGH…ab/Qwen3_(0.6B)-Reasoning-Conversational-ExecuTorch.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Zephyr_(7B)-DPO.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Ministral_3_VL_(3B)_Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3N_(4B)-Audio.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/EmbeddingGemma_(300M).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_5_(0_8B)_Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Mistral_v0.3_(7B)-CPT.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/bert_classification.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/All_MiniLM_L6_v2.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Qwen3_VL_(8B)-Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/LFM2.5_(1.2B)-Text_Completion.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3N_(4B)-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGH…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma3_(4B).py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Mistral_(7B)-Text_Completion.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/gpt-oss-(20B)-GRPO.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/CodeGemma_(7B)-Conversational.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Orpheus_(3B)-TTS.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Gemma4_(E2B)-Vision.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
HIGHmolab/Llama3_(8B)-Alpaca.py0to run this notebook, hit the **▶ run all** button in the bottom-right corner - or use `ctrl/cmd + shift + r`. <div clasSTRING
2478 more matches not shown…
Over-Commented Block2422 hits · 2401 pts
SeverityFileLineSnippetContext
LOWpyproject.toml21# names it had to rename for the single-definition rule, whichCOMMENT
LOWupdate_all_notebooks.py1# Unsloth Notebooks - Notebooks for UnslothCOMMENT
LOWupdate_all_notebooks.py121COMMENT
LOWupdate_all_notebooks.py161# moved for the reasons set out above installation_grpo_content, and 2.9.0 isCOMMENT
LOWupdate_all_notebooks.py341# 1. At or above 0.10.0. Up to 0.9.2 `vllm/transformers_utils/configs/ovis.py`COMMENT
LOWupdate_all_notebooks.py361# T4 has no backend left to fall back to.COMMENT
LOWupdate_all_notebooks.py681# already satisfied by Colab's preinstalled 0.36.2, so the next import dies.COMMENT
LOWupdate_all_notebooks.py801# torchao 0.18.0. The ROCm cell above owns the torchao version, so if inferenceCOMMENT
LOWupdate_all_notebooks.py921# (0.5.1) and injects it as a real top-level `fla`, but its selection ruleCOMMENT
LOWupdate_all_notebooks.py941 "!pip install transformers==5.15.1",COMMENT
LOWupdate_all_notebooks.py981# version is what pulls it from the index the new torch came from.COMMENT
LOWupdate_all_notebooks.py3801# popularity (downloads + likes*1000) of the models each notebook actuallyCOMMENT
LOWupdate_all_notebooks.py4361 return cache, refs_by_nb, assigned_by_nbCOMMENT
LOWupdate_all_notebooks.py5681 # (GSM8K Math, DAPO Math, Vision Math, Wordle, Sudoku, 2048 Game,COMMENT
LOWupdate_all_notebooks.py5901 "popularity_key": data.get("created_at_key", (0, 0)),COMMENT
LOWupdate_all_notebooks.py5921 # keeps the previous ordering.COMMENT
LOWmolab/Qwen3_Embedding_(0_6B).py1# /// scriptCOMMENT
LOWmolab/Granite4.0_350M.py1# /// scriptCOMMENT
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py1# /// scriptCOMMENT
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py21# "uvicorn",COMMENT
LOWmolab/GLM_Flash_A100(80GB).py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E2B)-Text.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E2B)-Text.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Qwen3_6_MoE.py1# /// scriptCOMMENT
LOWmolab/Qwen3_6_MoE.py21# "xformers>=0.0.33",COMMENT
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py1# /// scriptCOMMENT
LOWmolab/NeMo-Gym-Multi-Environment.py1# /// scriptCOMMENT
LOWmolab/NeMo-Gym-Multi-Environment.py121@app.cellCOMMENT
LOWmolab/NeMo-Gym-Multi-Environment.py181COMMENT
LOWmolab/NeMo-Gym-Multi-Environment.py201 # install new versions.COMMENT
LOWmolab/FunctionGemma_(270M).py1# /// scriptCOMMENT
LOWmolab/Gemma4_(12B)_Text.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(12B)_Text.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Gemma3_(270M)_Phone_Deployment.py1# /// scriptCOMMENT
LOWmolab/Gemma3_(270M)_Phone_Deployment.py21# "unsloth @ git+https://github.com/unslothai/unsloth",COMMENT
LOWmolab/Gemma3_(270M)_Phone_Deployment.py361 """)COMMENT
LOWmolab/Gemma3_(270M)_Phone_Deployment.py421 ### Test Inference on Exported ModelCOMMENT
LOWmolab/Magistral_(24B)-Reasoning-Conversational.py1# /// scriptCOMMENT
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py1# /// scriptCOMMENT
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py21# "uvicorn",COMMENT
LOWmolab/Liquid_LFM2_(1.2B)-Conversational.py1# /// scriptCOMMENT
LOWmolab/Liquid_LFM2_(1.2B)-Conversational.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Muse_Glimmer_(30B)-Multimodal.py1# /// scriptCOMMENT
LOWmolab/Llama3.2_(1B_and_3B)-Conversational.py1# /// scriptCOMMENT
LOWmolab/Pixtral_(12B)-Vision.py1# /// scriptCOMMENT
LOWmolab/Granite4.0.py1# /// scriptCOMMENT
LOWmolab/Deepseek_OCR_2_(3B).py1# /// scriptCOMMENT
LOWmolab/Deepseek_OCR_2_(3B).py21# "unsloth @ git+https://github.com/unslothai/unsloth",COMMENT
LOWmolab/DiffusionGemma_(26B-A4B)-Sudoku.py1# /// scriptCOMMENT
LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py1# /// scriptCOMMENT
LOWmolab/Sesame_CSM_(1B)-TTS.py1# /// scriptCOMMENT
LOWmolab/Synthetic_Data_Hackathon.py1# /// scriptCOMMENT
LOWmolab/Qwen3_VL_(8B)-Vision-GRPO.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E4B)-Text.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E4B)-Text.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Llasa_TTS_(1B).py1# /// scriptCOMMENT
LOWmolab/Llasa_TTS_(1B).py21# "triton>=3.2.0",COMMENT
LOWmolab/Mistral_Nemo_(12B)-Alpaca.py1# /// scriptCOMMENT
LOWmolab/Qwen3_5_(2B)_Vision.py1# /// scriptCOMMENT
LOWmolab/Qwen3_5_(2B)_Vision.py21# "xformers>=0.0.33",COMMENT
2362 more matches not shown…
Cross-Language Confusion194 hits · 1334 pts
SeverityFileLineSnippetContext
HIGHupdate_all_notebooks.py751ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2,CODE
HIGHupdate_all_notebooks.py751ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2,CODE
HIGHupdate_all_notebooks.py543!rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTSCODE
HIGHupdate_all_notebooks.py553!rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTSCODE
HIGHupdate_all_notebooks.py1060!pip install transformers==4.55.4 && pip install --no-deps trl==0.22.2""".replace(CODE
HIGHmolab/NeMo-Gym-Multi-Environment.py290 "source .venv/bin/activate && python "STRING
HIGHmolab/NeMo-Gym-Multi-Environment.py352 "source .venv/bin/activate && ng_run "STRING
HIGHmolab/NeMo-Gym-Sudoku.py284 "source .venv/bin/activate && python "STRING
HIGHmolab/NeMo-Gym-Sudoku.py314 "source .venv/bin/activate && ng_run "STRING
HIGHmolab/Llama3_(8B)-Ollama.py586 "command -v zstd >/dev/null 2>&1 || (apt-get -qq update && apt-get -qq install -y zstd) >/dev/null 2>&1",STRING
HIGH…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py26get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGH…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py26get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-Pixtral_(12B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(4B).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-CodeGemma_(7B)-Conversational.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(26B_A4B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py229 "source .venv/bin/activate && python "CODE
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py287 "source .venv/bin/activate && ng_run "CODE
HIGHpython_scripts/AMD-Llama3.1_(8B)-Inference.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Spark_TTS_(0_5B).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(4B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(12B)_Text.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py213 "source .venv/bin/activate && python "CODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py21get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py21get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py271 "source .venv/bin/activate && ng_run "CODE
HIGHpython_scripts/AMD-GLM_Flash_A100(80GB).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(12B)_Audio.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…thon_scripts/AMD-Qwen2.5_Coder_(14B)-Conversational.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3.2_(1B)-RAFT.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(E2B)-Text.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…thon_scripts/AMD-Llama3.3_(70B)_A100-Conversational.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-TinyLlama_(1.1B)-Alpaca.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-FunctionGemma_(270M).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(270M)_Phone_Deployment.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…hon_scripts/AMD-FunctionGemma_(270M)-Mobile-Actions.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py27get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGH…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py27get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3.1_(8B)-Alpaca.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Nemotron-3-Nano-30B-A3B_A100.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen_3_5_27B_A100(80GB).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3_(8B)-ORPO.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen3_(4B)_Instruct-QAT.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3N_(4B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(E4B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…cripts/AMD-Magistral_(24B)-Reasoning-Conversational.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-LFM2.5_(1.2B)-Text_Completion.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-LFM2.5_VL_(1.6B)-Vision.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(E4B)-Text.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py36get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py36get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGH…s/AMD-Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py29# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen3_5_MoE.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3.1_(8B)-GRPO.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Meta_Synthetic_Data_Llama3_2_(3B).py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3N_(4B)-Audio.py36# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
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Decorative Section Separators168 hits · 610 pts
SeverityFileLineSnippetContext
MEDIUMupdate_all_notebooks.py736# ---------------------------------------------------------------------------COMMENT
MEDIUMupdate_all_notebooks.py746# ---------------------------------------------------------------------------COMMENT
MEDIUMupdate_all_notebooks.py3796# ============================================================================COMMENT
MEDIUMupdate_all_notebooks.py3798# ============================================================================COMMENT
MEDIUMtests/test_vllm_cells_resolve_torchao_against_torch.py126# --------------------------------------------------------------------------COMMENT
MEDIUMtests/test_vllm_cells_resolve_torchao_against_torch.py128# --------------------------------------------------------------------------COMMENT
MEDIUM…sts/test_pinned_vllm_can_import_pinned_transformers.py309# --------------------------------------------------------------------------COMMENT
MEDIUM…sts/test_pinned_vllm_can_import_pinned_transformers.py338# --------------------------------------------------------------------------COMMENT
MEDIUMtests/test_generate_takes_transformers_kwargs.py203# --------------------------------------------------------------------------COMMENT
MEDIUMtests/test_generate_takes_transformers_kwargs.py205# --------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py47# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py49# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py62# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py64# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py72# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py74# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py154# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py156# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py192# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_no_colab_markers.py194# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py66# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py68# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py78# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py80# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py88# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py90# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py109# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py111# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py118# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py120# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py174# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py177# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py195# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py197# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py215# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_generation_parity.py218# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py285# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py287# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py51# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py53# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py69# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py71# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py148# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py150# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py236# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_dependency_parity.py238# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py62# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py64# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py280# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py282# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py43# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_manifest.py45# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py46# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py48# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py61# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py63# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py71# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py73# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py83# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py85# ---------------------------------------------------------------------------COMMENT
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Hyper-Verbose Identifiers590 hits · 588 pts
SeverityFileLineSnippetContext
LOWupdate_max_seq_length.py59def update_max_seq_length_in_source(source):CODE
LOWupdate_all_notebooks.py6242def copy_and_update_notebooks(CODE
LOWupdate_all_notebooks.py179def build_vllm_torchao_spec_block(indent=""):CODE
LOWupdate_all_notebooks.py202def _qat_torchao_fallback_snippet(default_torchao=None):CODE
LOWupdate_all_notebooks.py240def build_qat_native_install_block(CODE
LOWupdate_all_notebooks.py279def update_or_append_pip_install(base_content, package_name, new_install_line):CODE
LOWupdate_all_notebooks.py1640def _should_skip_readme_notebook(path):CODE
LOWupdate_all_notebooks.py1689def _file_has_trailing_newline(filepath):CODE
LOWupdate_all_notebooks.py1761def _restore_original_outputs(filepath):CODE
LOWupdate_all_notebooks.py1788def _normalize_lgpl_blank_line(filepath):CODE
LOWupdate_all_notebooks.py2031def _owns_extra_grpo_install_cell(notebook_path, cells, idx):CODE
LOWupdate_all_notebooks.py2075def _is_extra_grpo_install_cell(cells, idx):CODE
LOWupdate_all_notebooks.py2097def _defer_torch_imports_past_downgrade(install_text):CODE
LOWupdate_all_notebooks.py2184def _adjacent_install_like_code_cells(cells, first_code_idx):CODE
LOWupdate_all_notebooks.py2230def _is_residual_non_amd_install_cell(cells, idx, source_text):CODE
LOWupdate_all_notebooks.py2246def _is_stale_amd_announcement(source_text):CODE
LOWupdate_all_notebooks.py2264def _validate_vllm_install_usage(notebook_path):CODE
LOWupdate_all_notebooks.py2297def _assert_vllm_install_usage_or_fast_inference(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py2329def _validate_amd_install_package_parity(amd_notebook_path):CODE
LOWupdate_all_notebooks.py2368def _assert_amd_install_package_parity(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py2397def _validate_amd_install_runtime(notebook_path):CODE
LOWupdate_all_notebooks.py2454def _assert_amd_install_runtime(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py2479def _get_base_name_from_filename(filename):CODE
LOWupdate_all_notebooks.py2531def _strip_extra_trailing_blank_lines(lines):CODE
LOWupdate_all_notebooks.py3058def _iter_pip_install_arg_strings(text):CODE
LOWupdate_all_notebooks.py3075def _package_key_from_install_token(token):CODE
LOWupdate_all_notebooks.py3117def _extract_install_package_groups(text):CODE
LOWupdate_all_notebooks.py3195def _extract_install_package_names_from_text(text):CODE
LOWupdate_all_notebooks.py3232def _extract_preserved_setup_lines(text):CODE
LOWupdate_all_notebooks.py3275def _extract_git_main_unsloth_specs(source_install_texts):CODE
LOWupdate_all_notebooks.py3301def _extract_forced_unsloth_release_specs(source_install_texts):CODE
LOWupdate_all_notebooks.py3356def _build_qat_version_vars_block():CODE
LOWupdate_all_notebooks.py3382def _pin_qat_numpy_beside_fbgemm(merged_groups):CODE
LOWupdate_all_notebooks.py3440def _compose_amd_installation(notebook_path, source_install_texts):CODE
LOWupdate_all_notebooks.py3569def _prepend_missing_stdlib_imports(cell_text):CODE
LOWupdate_all_notebooks.py3592def _append_missing_amd_install_groups(new_install_text, source_install_text):CODE
LOWupdate_all_notebooks.py3633def extract_model_info_refined(filename, architecture_mapping, known_types_ordered):CODE
LOWupdate_all_notebooks.py4258def refresh_model_created_cache(notebook_paths, cache_path=_MODEL_CREATED_CACHE_PATH):CODE
LOWupdate_all_notebooks.py5328def _should_fallback_process_error(exc):CODE
LOWupdate_all_notebooks.py5349def _can_use_process_executor():CODE
LOWupdate_all_notebooks.py5916 def _make_section_row_sort_key(section_name):CODE
LOWupdate_all_notebooks.py6381def copy_and_update_amd_notebooks(CODE
LOWupdate_all_notebooks.py6514def convert_notebook_to_script(notebook_path: str, output_path: str):CODE
LOWupdate_all_notebooks.py6589def _ensure_memory_stats_hidden(nb_path):CODE
LOWupdate_all_notebooks.py3925def notebook_uses_fast_inference(notebook_path):STRING
LOWupdate_all_notebooks.py4032def extract_hf_model_refs_from_notebook(notebook_path):STRING
LOWupdate_all_notebooks.py4095def _load_model_created_cache(cache_path=_MODEL_CREATED_CACHE_PATH):STRING
LOWupdate_all_notebooks.py4139def _write_model_created_cache(cache, cache_path=_MODEL_CREATED_CACHE_PATH):STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py321 def check_only_stdlib_imports(code: str):STRING
LOWmolab/FunctionGemma_(270M).py466 def prepare_messages_and_tools(example):STRING
LOWmolab/Muse_Glimmer_(30B)-Multimodal.py431 def _extract_images_videos_for_example(self, example, messages):STRING
LOWmolab/Deepseek_OCR_2_(3B).py416 def calculate_image_token_count(CODE
LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py636 def get_usd_to_euro_conversion_rate() -> float:CODE
LOWmolab/Muse_Glimmer_(30B)-GRPO.py888 def chunked_hidden_states_selective_log_softmax(STRING
LOWmolab/Gemma4_(E2B)_GRPO.py306 def check_only_stdlib_imports(code: str):STRING
LOWmolab/Spark_TTS_(0_5B).py425 def generate_speech_from_text(STRING
LOWmolab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py160 def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]:STRING
LOWmolab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py332 def _update_state_after_change(self) -> None:STRING
LOWmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py173 def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]:STRING
LOWmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py345 def _update_state_after_change(self) -> None:STRING
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Unused Imports478 hits · 470 pts
SeverityFileLineSnippetContext
LOWmolab/Granite4.0_350M.py230CODE
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py137CODE
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py139CODE
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py224CODE
LOWmolab/Gemma4_(E2B)-Text.py229CODE
LOWmolab/Qwen3_6_MoE.py167CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py472CODE
LOWmolab/Gemma4_(12B)_Text.py230CODE
LOWmolab/Gemma3_(270M)_Phone_Deployment.py49CODE
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py137CODE
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py221CODE
LOWmolab/Granite4.0.py223CODE
LOWmolab/Deepseek_OCR_2_(3B).py345CODE
LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py125CODE
LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py568CODE
LOWmolab/Sesame_CSM_(1B)-TTS.py163CODE
LOWmolab/Sesame_CSM_(1B)-TTS.py164CODE
LOWmolab/Synthetic_Data_Hackathon.py347CODE
LOWmolab/Qwen3_VL_(8B)-Vision-GRPO.py121CODE
LOWmolab/Gemma4_(E4B)-Text.py230CODE
LOWmolab/Qwen3_5_(2B)_Vision.py213CODE
LOWmolab/Gemma4_(E4B)-Audio.py112CODE
LOWmolab/Gemma4_(E4B)-Audio.py179CODE
LOWmolab/Gemma4_(E4B)-Audio.py192CODE
LOWmolab/Gemma4_(12B)_Vision.py218CODE
LOWmolab/Gemma4_(E2B)_GRPO.py457CODE
LOWmolab/Spark_TTS_(0_5B).py48CODE
LOWmolab/Spark_TTS_(0_5B).py205CODE
LOWmolab/Spark_TTS_(0_5B).py207CODE
LOWmolab/Spark_TTS_(0_5B).py420CODE
LOWmolab/Spark_TTS_(0_5B).py420CODE
LOWmolab/Qwen3_5_(4B)_Vision_GRPO.py115CODE
LOWmolab/Gemma3_(4B)-Vision.py211CODE
LOW…CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.py221CODE
LOWmolab/Gemma4_(12B)_Audio.py180CODE
LOWmolab/Gemma4_(12B)_Audio.py193CODE
LOWmolab/gpt_oss_(20B)_500K_Context_Fine_tuning.py228CODE
LOWmolab/LFM2.5_(1.2B)-Translation.py268CODE
LOWmolab/Qwen3_5_(4B)_Vision.py213CODE
LOWmolab/GPT_OSS_MXFP4_(20B)-Inference.py108CODE
LOWmolab/Qwen3_MoE.py109CODE
LOWmolab/Llama3_(8B)-ORPO.py100CODE
LOWmolab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py100CODE
LOWmolab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py158CODE
LOWmolab/Zephyr_(7B)-DPO.py109CODE
LOWmolab/Zephyr_(7B)-DPO.py428CODE
LOWmolab/Ministral_3_VL_(3B)_Vision.py207CODE
LOWmolab/Gemma3N_(4B)-Audio.py111CODE
LOWmolab/Gemma3N_(4B)-Audio.py180CODE
LOWmolab/Gemma3N_(4B)-Audio.py193CODE
LOWmolab/Qwen3_5_(0_8B)_Vision.py213CODE
LOWmolab/Mistral_v0.3_(7B)-CPT.py280CODE
LOWmolab/Gemma4_(31B)-Vision.py218CODE
LOWmolab/Whisper.py210CODE
LOWmolab/Gemma3N_(2B)-Inference.py316CODE
LOWmolab/bert_classification.py103CODE
LOWmolab/Qwen3_VL_(8B)-Vision.py210CODE
LOWmolab/LFM2.5_(1.2B)-Text_Completion.py237CODE
LOWmolab/LFM2.5_(1.2B)-Text_Completion.py238CODE
LOWmolab/Gemma3N_(4B)-Conversational.py229CODE
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Excessive Try-Catch Wrapping371 hits · 368 pts
SeverityFileLineSnippetContext
LOWupdate_max_seq_length.py93 except Exception as e:CODE
MEDIUMupdate_max_seq_length.py94 print(f"Error reading {notebook_path}: {e}")CODE
LOWupdate_max_seq_length.py126 except Exception as e:CODE
LOWreplace_text.py20 except Exception:CODE
LOWreplace_text.py30 except Exception:CODE
LOWreplace_text.py76 except Exception as e:CODE
MEDIUMupdate_all_notebooks.py5211 print(f"Error: Notebook not found at {notebook_path}")CODE
MEDIUMupdate_all_notebooks.py5213 print(f"Error: Invalid JSON in notebook at {notebook_path}")CODE
MEDIUMupdate_all_notebooks.py6233 print(f"Error: README file '{readme_path}' not found.")CODE
MEDIUMupdate_all_notebooks.py6235 print(f"Error processing README: {ve}")CODE
MEDIUMupdate_all_notebooks.py6237 print(f"An error occurred while updating {readme_path}: {e}")CODE
MEDIUMupdate_all_notebooks.py5670 print(f"Error processing {notebook_name}: {e}")CODE
MEDIUMupdate_all_notebooks.py2264def _validate_vllm_install_usage(notebook_path):CODE
MEDIUMupdate_all_notebooks.py3068def _split_pip_args(arg_string):CODE
MEDIUMupdate_all_notebooks.py4227def _safe_int(v):CODE
MEDIUMupdate_all_notebooks.py6610def _apply_global_fixes(nb_path):CODE
LOWupdate_all_notebooks.py5214 except Exception as e:CODE
LOWupdate_all_notebooks.py6236 except Exception as e:CODE
LOWupdate_all_notebooks.py44except Exception:CODE
LOWupdate_all_notebooks.py50except Exception:CODE
LOWupdate_all_notebooks.py214 except Exception:CODE
LOWupdate_all_notebooks.py236except Exception:CODE
LOWupdate_all_notebooks.py265except Exception:CODE
LOWupdate_all_notebooks.py965except Exception:CODE
LOWupdate_all_notebooks.py1757 except Exception:CODE
LOWupdate_all_notebooks.py1784 except Exception:CODE
LOWupdate_all_notebooks.py1803 except Exception:CODE
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LOWupdate_all_notebooks.py7070 except Exception as _molab_exc: # noqa: BLE001 - keep molab failures non-fatalCODE
LOWupdate_all_notebooks.py4134 except Exception as e:STRING
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py623 except Exception as e:STRING
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py634 except Exception as e:STRING
LOW…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py858 except Exception as e:STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py313 except Exception:STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py444 except Exception as e:STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py523 except Exception as e:STRING
LOWmolab/FunctionGemma_(270M).py535 except Exception:STRING
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AI Slop Vocabulary144 hits · 340 pts
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LOWupdate_all_notebooks.py382 # If you're not in Colab, just use pip install or uv pip installCOMMENT
LOWupdate_all_notebooks.py392 # If you're not in Colab, just use pip install!COMMENT
LOWupdate_all_notebooks.py449 # If you're not in Colab, just use pip install!COMMENT
MEDIUMupdate_all_notebooks.py812# harness cannot execute. AMD-Llasa therefore still installs whatever torchaoSTRING
MEDIUMmolab/Llama3_(8B)-Ollama.py572 [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](htCODE
LOWpython_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
LOWpython_scripts/LFM2.5_(1.2B)-GRPO.py36# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/LFM2.5_(1.2B)-GRPO.py47# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/LFM2.5_(1.2B)-GRPO.py305# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/LFM2.5_(1.2B)-GRPO.py305# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py107# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
LOWpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py396# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py396# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUM…scripts/Kaggle-Qwen3_(14B)-Reasoning-Conversational.py99# 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset iCOMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py155# Our dataset is a HuggingFace `Dataset` object, so we can leverage the abstraction's advantage to do a train-test splitCOMMENT
LOWpython_scripts/AMD-Llama3.2_(1B)-RAFT.py225 # Here we show both, but you could just use `context`.COMMENT
LOWpython_scripts/Llama_FP8_GRPO.py36# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/Llama_FP8_GRPO.py47# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/Llama_FP8_GRPO.py393# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Llama_FP8_GRPO.py393# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Synthetic_Data_Hackathon.py300# This cell performs comprehensive data processing:COMMENT
MEDIUMpython_scripts/Kaggle-Phi_4_(14B)-GRPO.py73# 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.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOW…n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUM…n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py107# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
LOWpython_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py38# get_ipython().run_cell_magic('capture', '', 'import os\n!pip install --upgrade -qqq uv\nif "COLAB_" not in "".join(os.COMMENT
LOWpython_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py49# # If you're not in Colab, just use pip install!COMMENT
LOWpython_scripts/Qwen2_5_7B_VL_GRPO.py36# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/Qwen2_5_7B_VL_GRPO.py47# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/AMD-Llama3.1_(8B)-GRPO.py91# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUM…n_scripts/Qwen3_(32B)_A100-Reasoning-Conversational.py99# 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset iCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen3_(4B)-GRPO.py291# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen3_(4B)-GRPO.py291# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
LOWpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py107# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUMpython_scripts/Qwen3_(14B).py99# 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset iCOMMENT
MEDIUMpython_scripts/AMD-LFM2.5_(1.2B)-GRPO.py285# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/AMD-LFM2.5_(1.2B)-GRPO.py285# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/AMD-Mistral_v0.3_(7B)-GRPO.py91# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUMpython_scripts/Kaggle-Llama_FP8_GRPO.py364# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Kaggle-Llama_FP8_GRPO.py364# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3_(8B)-Ollama.py404# [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](httpCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3_(8B)-Ollama.py404# [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](httpCOMMENT
LOW…cripts/HuggingFace Course-Qwen3_VL_(8B)-Vision-GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/AMD-Llama_FP8_GRPO.py379# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/AMD-Llama_FP8_GRPO.py379# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py38# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py49# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py322# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py322# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py158# Our dataset is a HuggingFace `Dataset` object, so we can leverage the abstraction's advantage to do a train-test splitCOMMENT
LOWpython_scripts/Llama3.2_(1B)-RAFT.py228 # Here we show both, but you could just use `context`.COMMENT
LOWpython_scripts/Gemma3_(4B)-Vision-GRPO.py36# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/Gemma3_(4B)-Vision-GRPO.py47# # If you're not in Colab, just use pip install!COMMENT
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Deep Nesting275 hits · 258 pts
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LOWupdate_all_notebooks.py1675CODE
LOWupdate_all_notebooks.py1929CODE
LOWupdate_all_notebooks.py2479CODE
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LOWupdate_all_notebooks.py2768CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py285CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py471CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py729CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py292CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py736CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py507CODE
LOWmolab/NeMo-Gym-Multi-Environment.py165CODE
LOWmolab/FunctionGemma_(270M).py458CODE
LOWmolab/FunctionGemma_(270M).py466CODE
LOWmolab/Muse_Glimmer_(30B)-Multimodal.py426CODE
LOWmolab/Muse_Glimmer_(30B)-Multimodal.py431CODE
LOWmolab/Deepseek_OCR_2_(3B).py337CODE
LOWmolab/Deepseek_OCR_2_(3B).py518CODE
LOWmolab/Synthetic_Data_Hackathon.py274CODE
LOWmolab/Llasa_TTS_(1B).py188CODE
LOWmolab/Llasa_TTS_(1B).py202CODE
LOWmolab/Gemma4_(E2B)_GRPO.py270CODE
LOWmolab/Gemma4_(E2B)_GRPO.py456CODE
LOWmolab/Gemma4_(E2B)_GRPO.py723CODE
LOWmolab/Gemma4_(E2B)_GRPO.py277CODE
LOWmolab/Gemma4_(E2B)_GRPO.py730CODE
LOWmolab/Gemma4_(E2B)_GRPO.py492CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py151CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py502CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py686CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py505CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py555CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py689CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py189CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py206CODE
LOW…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py320CODE
LOWmolab/NeMo-Gym-Sudoku.py159CODE
LOWmolab/Zephyr_(7B)-DPO.py126CODE
LOWmolab/Zephyr_(7B)-DPO.py137CODE
LOWmolab/Zephyr_(7B)-DPO.py249CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py166CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py712CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py188CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py723CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py287CODE
LOWmolab/gpt-oss-(20B)-GRPO.py293CODE
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Synthetic Comment Markers36 hits · 240 pts
SeverityFileLineSnippetContext
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py230# Kernel generated by GPT-5STRING
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py378 For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPTCODE
HIGHmolab/Gemma4_(E2B)_GRPO.py215# Kernel generated by GPT-5STRING
HIGHmolab/Gemma4_(E2B)_GRPO.py363 For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPTCODE
HIGHmolab/gpt-oss-(20B)-GRPO.py238# Kernel generated by GPT-5STRING
HIGHmolab/gpt-oss-(20B)-GRPO.py386 For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPTCODE
HIGHmolab/gpt-oss-(20B)_A100-GRPO.py238# Kernel generated by GPT-5STRING
HIGHmolab/gpt-oss-(20B)_A100-GRPO.py386 For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPTCODE
HIGHpython_scripts/gpt_oss_(20B)_GRPO_BF16.py136# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt_oss_(20B)_GRPO_BF16.py260# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py144# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py268# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/Gemma4_(E2B)_GRPO.py134# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Gemma4_(E2B)_GRPO.py258# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/AMD-Gemma4_(E2B)_GRPO.py144# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-Gemma4_(E2B)_GRPO.py268# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py136# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py260# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py138# Kernel generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)_A100-GRPO.py138# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)_A100-GRPO.py262# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt_oss_(20B)_GRPO_BF16.py144# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt_oss_(20B)_GRPO_BF16.py268# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)-GRPO.py144# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)-GRPO.py268# For example, let's call `check_only_stdlib_imports` on a random piece of matrix multiplication code generated by GPT-5COMMENT
Modern AI Meta-Vocabulary30 hits · 104 pts
SeverityFileLineSnippetContext
MEDIUMpython_scripts/Kaggle-gpt-oss-(20B)-Fine-tuning.py165# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py49# This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is lCOMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py51# RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the quesCOMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py53# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py67# Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex COMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py85# We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will beCOMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py208# We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT papCOMMENT
MEDIUMpython_scripts/gpt-oss-(20B)-Fine-tuning.py165# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/Openenv_wordle_grpo.py168# This function orchestrates the interaction between the model and the Wordle environment. For each prompt in the batch,COMMENT
MEDIUMpython_scripts/gpt-oss-(120B)_A100-Fine-tuning.py165# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py52# This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is lCOMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py54# RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the quesCOMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py56# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py70# Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex COMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py88# We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will beCOMMENT
MEDIUMpython_scripts/Llama3.2_(1B)-RAFT.py211# We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT papCOMMENT
MEDIUMpython_scripts/AMD-gpt-oss-(120B)_A100-Fine-tuning.py173# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/AMD-gpt-oss-(20B)-Fine-tuning.py173# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/AMD-Openenv_wordle_grpo.py175# This function orchestrates the interaction between the model and the Wordle environment. For each prompt in the batch,COMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py52# This cookbook aims to show how to use Unsloth to use retrieval augmented finetuning (RAFT). Supervised finetuning is lCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py54# RAFT differs from this in that it is an open-book exam format of finetuning! We allow the LLM to see not just the quesCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py56# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py70# Next, we'll set up LlamaIndex. This involves configuring the language model (LLM) and embedding model that LlamaIndex COMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py88# We'll use the following code to download a research paper and then load it using `SimpleDirectoryReader`. This will beCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(1B)-RAFT.py211# We need to put everything together into a single 'text' field for the LLM to be trained on. According to the [RAFT papCOMMENT
MEDIUM…thon_scripts/Kaggle-gpt-oss-(120B)_A100-Fine-tuning.py165# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMscripts/molab_dependencies.py624 # scaffolding (``import os, re``, the ``if "COLAB_" ...``COMMENT
MEDIUMscripts/molab_dependencies.py993 # scaffolding-line entries (``import os, re``, ``if "COLAB_" ...``)COMMENT
MEDIUMscripts/molab_dependencies.py1010# get_dropped_deps from reporting scaffolding tokens as dropped dependencies.COMMENT
MEDIUMscripts/scan_packages.py181# Container / orchestration abuseCOMMENT
AI Response Leakage13 hits · 98 pts
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HIGHpython_scripts/NeMo-Gym-Multi-Environment.py49# In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or parametCOMMENT
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py518# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py33# In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or parametCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py502# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/Openenv_wordle_grpo.py86# In this example, we'll connect to the hosted environment at [openenv/wordle](https://huggingface.co/spaces/openenv/worCOMMENT
HIGHpython_scripts/AMD-bert_classification.py123# We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text COMMENT
HIGHpython_scripts/NeMo-Gym-Sudoku.py47# In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or parametCOMMENT
HIGHpython_scripts/NeMo-Gym-Sudoku.py459# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/bert_classification.py116# We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text COMMENT
HIGHpython_scripts/AMD-Openenv_wordle_grpo.py93# In this example, we'll connect to the hosted environment at [openenv/wordle](https://huggingface.co/spaces/openenv/worCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Sudoku.py33# In this example, we will do full finetuning, but Unsloth supports optimized low precision (e.g. 4 or 8 bit) or parametCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Sudoku.py445# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/Kaggle-bert_classification.py116# We now use the [Emotion dataset](https://huggingface.co/datasets/dair-ai/emotion) from `dair-ai`, which contains text COMMENT
Self-Referential Comments37 hits · 92 pts
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MEDIUMmolab/Qwen3_VL_(8B)-Vision-GRPO.py248 # Define the delimiter variables for clarity and easy modificationSTRING
MEDIUMmolab/Qwen3_5_(4B)_Vision_GRPO.py241 # Define the delimiter variables for clarity and easy modificationSTRING
MEDIUM…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py336 # Create an easy puzzleSTRING
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py339 # Create an easy puzzleSTRING
MEDIUMmolab/Oute_TTS_(1B).py258 Creates a v3-compatible speaker dictionary using Whisper and AudioProcessor. # Create a dummy ModelConfig mCODE
MEDIUMpython_scripts/HuggingFace Course-Qwen2_5_7B_VL_GRPO.py178# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen3_VL_(8B)-Vision-GRPO.py150# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Qwen3_VL_(8B)-Vision-GRPO.py150# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/AMD-Qwen3_5_(4B)_Vision_GRPO.py159# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Qwen2_5_7B_VL_GRPO.py176# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Qwen3_5_(4B)_Vision_GRPO.py146# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…cripts/HuggingFace Course-Qwen3_VL_(8B)-Vision-GRPO.py181# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Gemma3_(4B)-Vision-GRPO.py201# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py298# Create an easy puzzleCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py459# Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some otherSTRING
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py673# Create the training dataset.COMMENT
MEDIUMpython_scripts/AMD-Qwen2_5_7B_VL_GRPO.py162# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py290# Create an easy puzzleCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py451# Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some otherSTRING
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py665# Create the training dataset.COMMENT
MEDIUMpython_scripts/AMD-Qwen3_VL_(8B)-Vision-GRPO.py159# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py280# Create an easy puzzleCOMMENT
MEDIUM…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py441# Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some otherSTRING
MEDIUM…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py659# Create the training dataset.COMMENT
MEDIUM…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py285# Create an easy puzzleCOMMENT
MEDIUM…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py446# Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some otherSTRING
MEDIUM…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py664# Create the training dataset.COMMENT
MEDIUMpython_scripts/AMD-Gemma3_(4B)-Vision-GRPO.py187# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen2_5_7B_VL_GRPO.py147# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py277# Create an easy puzzleCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py438# Create the prompt that instructs the model to generate a Sudoku solving strategy. You can customize this to some otherSTRING
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py652# Create the training dataset.COMMENT
MEDIUMpython_scripts/Oute_TTS_(1B).py146 # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterfaceCOMMENT
MEDIUMpython_scripts/Kaggle-Gemma3_(4B)-Vision-GRPO.py172# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…_scripts/HuggingFace Course-Gemma3_(4B)-Vision-GRPO.py203# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Oute_TTS_(1B).py146 # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterfaceCOMMENT
MEDIUMpython_scripts/AMD-Oute_TTS_(1B).py157 # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterfaceCOMMENT
Redundant / Tautological Comments49 hits · 64 pts
SeverityFileLineSnippetContext
LOWupdate_max_seq_length.py108 # Check if this cell contains trainer code AND dataset_kwargs with skip_prepare_datasetCOMMENT
LOWupdate_max_seq_length.py110 # Check if max_seq_length exists in this cellCOMMENT
LOWupdate_all_notebooks.py2555 # Check if this line continues (ends with backslash)COMMENT
LOWupdate_all_notebooks.py5129 # Check if the last cell already contains footer content using key markersCOMMENT
LOWupdate_all_notebooks.py5140 # Check if notebook has partial footer content but missing LGPL lineCOMMENT
LOWmolab/Deepseek_OCR_2_(3B).py653 } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are partCODE
LOWmolab/Whisper.py171 # Set this to the language you want to train onSTRING
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py289 RESET = "\x1b[0m" # Check if placement is validCODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py304 ): # Check if puzzle is completeCODE
LOWmolab/Deepseek_OCR_(3B)-Evaluation.py772 } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are partCODE
LOWmolab/Deepseek_OCR_(3B).py656 } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are partCODE
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py292 RESET = "\x1b[0m" # Check if placement is validCODE
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py307 ): # Check if puzzle is completeCODE
LOWmolab/Oute_TTS_(1B).py558 continue # Check if penalties should be appliedSTRING
LOWmolab/Deepseek_OCR_(3B)-Eval.py656 } # Check if this is the assistant's turn # This is the split point. All tokens added *so far* # are partCODE
LOWpython_scripts/Kaggle-Deepseek_OCR_(3B).py421 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_2_(3B).py421 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py563 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py104# Check if it succeeded:COMMENT
LOWpython_scripts/AMD-Meta_Synthetic_Data_Llama3_2_(3B).py86# Check if it succeeded:COMMENT
LOW…on_scripts/Kaggle-Meta_Synthetic_Data_Llama3_2_(3B).py73# Check if it succeeded:COMMENT
LOWpython_scripts/Kaggle-Whisper.py105#Set this to the language you want to train onCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py230 # Check if placement is validCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py243 # Check if puzzle is completeCOMMENT
LOWpython_scripts/AMD-Whisper.py112#Set this to the language you want to train onCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_(3B)-Eval.py421 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B)-Eval.py428 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_2_(3B).py421 # Check if this is the assistant's turnCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py222 # Check if placement is validCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py235 # Check if puzzle is completeCOMMENT
LOWpython_scripts/Whisper.py105#Set this to the language you want to train onCOMMENT
LOW…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py212 # Check if placement is validCOMMENT
LOW…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py225 # Check if puzzle is completeCOMMENT
LOW…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py217 # Check if placement is validCOMMENT
LOW…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py230 # Check if puzzle is completeCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B)-Evaluation.py556 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B).py421 # Check if this is the assistant's turnCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py209 # Check if placement is validCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py222 # Check if puzzle is completeCOMMENT
LOWpython_scripts/Oute_TTS_(1B).py437 # Check if penalties should be appliedCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_2_(3B).py428 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B).py428 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B)-Eval.py421 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_(3B)-Evaluation.py556 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Oute_TTS_(1B).py437 # Check if penalties should be appliedCOMMENT
LOWpython_scripts/AMD-Oute_TTS_(1B).py448 # Check if penalties should be appliedCOMMENT
LOWscripts/fix_templates.py48 # Check if import torch already existsCOMMENT
LOWscripts/fix_templates.py65 # Check if already has Version checkCOMMENT
LOWscripts/scan_packages.py1939 # Check if any are git depsCOMMENT
Verbosity Indicators24 hits · 38 pts
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LOWmolab/NeMo-Gym-Multi-Environment.py182 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py190 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py280 # Step 3: Create sudoku datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py309 # Step 4: Download instruction_following datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py326 # Step 5: Create resources_only.yaml for instruction_following if missingSTRING
LOWmolab/NeMo-Gym-Sudoku.py176 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Sudoku.py184 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Sudoku.py274 # Step 3: Create datasetSTRING
LOWpython_scripts/NeMo-Gym-Multi-Environment.py127# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py135# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py220# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py245# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py262# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py111# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py119# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py204# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py229# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py246# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py121# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py129# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py214# Step 3: Create datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py107# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py115# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py200# Step 3: Create datasetCOMMENT
Structural Annotation Overuse24 hits · 38 pts
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LOWmolab/NeMo-Gym-Multi-Environment.py182 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py190 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py280 # Step 3: Create sudoku datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py309 # Step 4: Download instruction_following datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py326 # Step 5: Create resources_only.yaml for instruction_following if missingSTRING
LOWmolab/NeMo-Gym-Sudoku.py176 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Sudoku.py184 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Sudoku.py274 # Step 3: Create datasetSTRING
LOWpython_scripts/NeMo-Gym-Multi-Environment.py127# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py135# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py220# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py245# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py262# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py111# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py119# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py204# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py229# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py246# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py121# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py129# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py214# Step 3: Create datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py107# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py115# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py200# Step 3: Create datasetCOMMENT
AI Structural Patterns21 hits · 20 pts
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LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py464CODE
LOWpython_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py366CODE
LOWpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py155CODE
LOWpython_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py359CODE
LOWpython_scripts/Kaggle-Phi_4_(14B)-GRPO.py121CODE
LOW…n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py155CODE
LOWpython_scripts/AMD-Llama3.1_(8B)-GRPO.py139CODE
LOWpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py155CODE
LOWpython_scripts/AMD-Mistral_v0.3_(7B)-GRPO.py139CODE
LOWpython_scripts/Kaggle-Qwen2.5_(3B)-GRPO.py124CODE
LOWpython_scripts/Kaggle-Mistral_v0.3_(7B)-GRPO.py124CODE
LOW…on_scripts/Kaggle-Qwen2.5_Coder_(1.5B)-Tool_Calling.py359CODE
LOWpython_scripts/Llama3.1_(8B)-GRPO.py153CODE
LOWpython_scripts/Kaggle-Llama3.1_(8B)-GRPO.py124CODE
LOWpython_scripts/Qwen2.5_(3B)-GRPO.py153CODE
LOWpython_scripts/AMD-Phi_4_(14B)-GRPO.py136CODE
LOWpython_scripts/HuggingFace Course-Phi_4_(14B)-GRPO.py152CODE
LOWpython_scripts/AMD-Qwen2.5_(3B)-GRPO.py139CODE
LOWpython_scripts/Mistral_v0.3_(7B)-GRPO.py153CODE
LOWpython_scripts/Phi_4_(14B)-GRPO.py150CODE
LOWscripts/molab_generate.py647CODE
Docstring Block Structure4 hits · 20 pts
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HIGHmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py253 Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain nSTRING
HIGHpython_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py180 Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain nSTRING
HIGHpython_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py173 Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain nSTRING
HIGH…on_scripts/Kaggle-Qwen2.5_Coder_(1.5B)-Tool_Calling.py173 Performs element-wise addition of two numerical vectors. Both vectors must be of the same length and contain nSTRING
Modern Structural Boilerplate20 hits · 18 pts
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LOWmolab/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py332 def _update_state_after_change(self) -> None:STRING
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py277 def _update_state(self) -> None:CODE
LOWmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py345 def _update_state_after_change(self) -> None:STRING
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py280 def _update_state(self) -> None:CODE
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py319 def _update_state_after_change(self) -> None:STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py309 def _update_state_after_change(self) -> None:STRING
LOW…s/AMD-Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py252 def _update_state_after_change(self) -> None:CODE
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py226 def _update_state_after_change(self) -> None:CODE
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py241 def _update_state(self) -> None:CODE
LOW…ipts/gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py229 def _update_state_after_change(self) -> None:CODE
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py233 def _update_state(self) -> None:CODE
LOW…pts/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py223 def _update_state(self) -> None:CODE
LOW…ripts/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py247 def _update_state_after_change(self) -> None:CODE
LOW…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py228 def _update_state(self) -> None:CODE
LOW…/AMD-gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py239 def _update_state_after_change(self) -> None:CODE
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py239 def _update_state_after_change(self) -> None:CODE
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py220 def _update_state(self) -> None:CODE
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py222 def _update_state_after_change(self) -> None:CODE
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py218 def _update_state_after_change(self) -> None:CODE
LOWscripts/scan_packages.py1878def update_req_file(filepath: str, updates: dict[int, str]) -> None:CODE
Slop Phrases5 hits · 12 pts
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LOWpython_scripts/Muse_Glimmer_(30B)-Conversational.py556# A merged Muse Glimmer is around 56 GB on disk, so make sure you have the room. The merge itself needsCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3.2_(11B)-Vision.py144# We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instrucCOMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(11B)-Vision.py151# We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instrucCOMMENT
LOW…on_scripts/Kaggle-Muse_Glimmer_(30B)-Conversational.py556# A merged Muse Glimmer is around 56 GB on disk, so make sure you have the room. The merge itself needsCOMMENT
MEDIUMpython_scripts/Llama3.2_(11B)-Vision.py144# We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instrucCOMMENT
Example Usage Blocks4 hits · 5 pts
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LOWmolab/Whisper.py394 # Example usageSTRING
LOWpython_scripts/Kaggle-Whisper.py292# Example usageCOMMENT
LOWpython_scripts/AMD-Whisper.py299# Example usageCOMMENT
LOWpython_scripts/Whisper.py292# Example usageCOMMENT