Repository Analysis

unslothai/notebooks

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

58.6 Strong AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of unslothai/notebooks, a Jupyter Notebook project with 5,512 GitHub stars. SynthScan v2.0 examined 323,714 lines of code across 612 source files, recording 6840 pattern matches distributed across 21 syntactic categories. The overall adjusted score of 58.6 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).

58.6
Adjusted Score
58.6
Raw Score
100%
Time Factor
2026-07-12
Last Push
5.5K
Stars
Jupyter Notebook
Language
323.7K
Lines of Code
612
Files
6.8K
Pattern Hits
2026-07-14
Scan Date
4.48
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

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

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 2739MEDIUM 366LOW 3735

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 6840 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 Repetition2484 hits · 12420 pts
SeverityFileLineSnippetContext
HIGHupdate_all_notebooks.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_Embedding_(0_6B).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Granite4.0_350M.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/GLM_Flash_A100(80GB).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(E2B)-Text.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_6_MoE.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/FunctionGemma_(270M).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(12B)_Text.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma3_(270M)_Phone_Deployment.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Magistral_(24B)-Reasoning-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Liquid_LFM2_(1.2B)-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3.2_(1B_and_3B)-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Pixtral_(12B)-Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Granite4.0.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Deepseek_OCR_2_(3B).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/DiffusionGemma_(26B-A4B)-Sudoku.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Sesame_CSM_(1B)-TTS.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_VL_(8B)-Vision-GRPO.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(E4B)-Text.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llasa_TTS_(1B).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Mistral_Nemo_(12B)-Alpaca.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_5_(2B)_Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma2_(9B)-Alpaca.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/gpt-oss-(20B)-Fine-tuning.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(E4B)-Audio.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Phi_3_Medium-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_(32B)_A100-Reasoning-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3.1_(8B)-Alpaca.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(12B)_Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/gpt-oss-(120B)_A100-Fine-tuning.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(26B_A4B)-Text.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_(14B).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Liquid_LFM2-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Spark_TTS_(0_5B).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma3_(270M).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_5_(4B)_Vision_GRPO.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/ModernBert.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma3_(4B)-Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGH…CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3.2_(11B)-Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma4_(12B)_Audio.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/gpt_oss_(20B)_500K_Context_Fine_tuning.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Nemotron-Nano-3-30B-A3B_A100.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_(4B)-Instruct.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3.2_(1B)-RAFT.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/LFM2.5_(1.2B)-Translation.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen2.5_(7B)-Alpaca.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_(4B)-Thinking.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_5_(4B)_Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/GPT_OSS_MXFP4_(20B)-Inference.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/FunctionGemma_(270M)-Mobile-Actions.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Qwen3_MoE.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3_(8B)-ORPO.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Llama3_(8B)-Conversational.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Zephyr_(7B)-DPO.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Ministral_3_VL_(3B)_Vision.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/Gemma3N_(4B)-Audio.py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
HIGHmolab/EmbeddingGemma_(300M).py0introducing **unsloth studio** - a new open source, no-code web ui to train and run llms. [blog](https://unsloth.ai/docsSTRING
2424 more matches not shown…
Over-Commented Block2215 hits · 2202 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.py541COMMENT
LOWupdate_all_notebooks.py3061# popularity (downloads + likes*1000) of the models each notebook actuallyCOMMENT
LOWupdate_all_notebooks.py3621 return cache, refs_by_nb, assigned_by_nbCOMMENT
LOWupdate_all_notebooks.py4861 model_type = info['type'] if info and info['type'] else ""COMMENT
LOWupdate_all_notebooks.py5101 # cross-listed GRPO / RL rows to the top so readers scanning theCOMMENT
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/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/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# "trl==0.15.2",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
LOWmolab/Gemma2_(9B)-Alpaca.py1# /// scriptCOMMENT
LOWmolab/gpt-oss-(20B)-Fine-tuning.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E4B)-Audio.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(E4B)-Audio.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Phi_3_Medium-Conversational.py1# /// scriptCOMMENT
LOWmolab/Qwen3_(32B)_A100-Reasoning-Conversational.py1# /// scriptCOMMENT
LOWmolab/Llama3.1_(8B)-Alpaca.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(12B)_Vision.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(12B)_Vision.py21# "unsloth_zoo @ git+https://github.com/unslothai/unsloth-zoo",COMMENT
LOWmolab/Openenv_wordle_grpo.py1# /// scriptCOMMENT
LOWmolab/Openenv_wordle_grpo.py21# "uvicorn",COMMENT
LOWmolab/gpt-oss-(120B)_A100-Fine-tuning.py1# /// scriptCOMMENT
LOWmolab/Gemma4_(26B_A4B)-Text.py1# /// scriptCOMMENT
2155 more matches not shown…
Cross-Language Confusion204 hits · 1390 pts
SeverityFileLineSnippetContext
HIGHupdate_all_notebooks.py557ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2,CODE
HIGHupdate_all_notebooks.py557ROCM_TAG="$({ command -v amd-smi >/dev/null 2>&1 && amd-smi version 2>/dev/null | awk -F'ROCm version: ' 'NF>1{split($2,CODE
HIGHupdate_all_notebooks.py383!rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTSCODE
HIGHupdate_all_notebooks.py393!rm -rf OuteTTS && git clone https://github.com/edwko/OuteTTSCODE
HIGHupdate_all_notebooks.py648!git clone https://github.com/sgl-project/sglang.git && cd sglang && pip install -e "python[all]"CODE
HIGHupdate_all_notebooks.py701!pip install transformers==4.55.4 && pip install --no-deps trl==0.22.2""".replace(CODE
HIGHmolab/NeMo-Gym-Multi-Environment.py194 ["bash", "-c", "source .venv/bin/activate && uv sync"],STRING
HIGHmolab/NeMo-Gym-Multi-Environment.py199 ["bash", "-c", "source .venv/bin/activate && uv pip install reasoning-gym"],STRING
HIGHmolab/NeMo-Gym-Multi-Environment.py205 ["bash", "-c", "source .venv/bin/activate && uv pip install matplotlib"],STRING
HIGHmolab/NeMo-Gym-Multi-Environment.py220 "source .venv/bin/activate && python "STRING
HIGHmolab/NeMo-Gym-Multi-Environment.py272 "source .venv/bin/activate && ng_run "STRING
HIGHmolab/NeMo-Gym-Sudoku.py188 ["bash", "-c", "source .venv/bin/activate && uv sync"],STRING
HIGHmolab/NeMo-Gym-Sudoku.py193 ["bash", "-c", "source .venv/bin/activate && uv pip install reasoning-gym"],STRING
HIGHmolab/NeMo-Gym-Sudoku.py199 ["bash", "-c", "source .venv/bin/activate && uv pip install matplotlib"],STRING
HIGHmolab/NeMo-Gym-Sudoku.py214 "source .venv/bin/activate && python "STRING
HIGHmolab/NeMo-Gym-Sudoku.py234 "source .venv/bin/activate && ng_run "STRING
HIGH…)_Reinforcement_Learning_GRPO_Minesweeper_Game_BF16.py26get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ 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="$({ commanCODE
HIGHpython_scripts/AMD-Pixtral_(12B)-Vision.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(4B).py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Liquid_LFM2_(1.2B)-Conversational.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-CodeGemma_(7B)-Conversational.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3N_(2B)-Inference.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(26B_A4B)-Vision.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py139 ["bash", "-c", "source .venv/bin/activate && uv sync"],CODE
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py143 ["bash", "-c", "source .venv/bin/activate && uv pip install reasoning-gym"],CODE
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py148 ["bash", "-c", "source .venv/bin/activate && uv pip install matplotlib"],CODE
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py160 "source .venv/bin/activate && python "CODE
HIGHpython_scripts/NeMo-Gym-Multi-Environment.py210 "source .venv/bin/activate && ng_run "CODE
HIGHpython_scripts/AMD-Llama3.1_(8B)-Inference.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Spark_TTS_(0_5B).py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(4B)-Vision.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(12B)_Text.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py123 ["bash", "-c", "source .venv/bin/activate && uv sync"],CODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py127 ["bash", "-c", "source .venv/bin/activate && uv pip install reasoning-gym"],CODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py132 ["bash", "-c", "source .venv/bin/activate && uv pip install matplotlib"],CODE
HIGHpython_scripts/AMD-NeMo-Gym-Multi-Environment.py144 "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.py194 "source .venv/bin/activate && ng_run "CODE
HIGHpython_scripts/AMD-GLM_Flash_A100(80GB).py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(12B)_Audio.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…thon_scripts/AMD-Qwen2.5_Coder_(14B)-Conversational.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3.2_(1B)-RAFT.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma4_(E2B)-Text.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…thon_scripts/AMD-Llama3.3_(70B)_A100-Conversational.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-TinyLlama_(1.1B)-Alpaca.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-FunctionGemma_(270M).py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3_(270M)_Phone_Deployment.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…hon_scripts/AMD-FunctionGemma_(270M)-Mobile-Actions.py28# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGH…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py18get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGH…nEnv_gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py18get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commanCODE
HIGHpython_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3.1_(8B)-Alpaca.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Nemotron-3-Nano-30B-A3B_A100.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen_3_5_27B_A100(80GB).py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Llama3_(8B)-ORPO.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Qwen3_(4B)_Instruct-QAT.py37# get_ipython().run_cell_magic('bash', '', 'python -m pip install -qU uv --root-user-action=ignore\n\nROCM_TAG="$({ commCOMMENT
HIGHpython_scripts/AMD-Gemma3N_(4B)-Vision.py37# 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 Separators160 hits · 574 pts
SeverityFileLineSnippetContext
MEDIUMupdate_all_notebooks.py542# ---------------------------------------------------------------------------COMMENT
MEDIUMupdate_all_notebooks.py552# ---------------------------------------------------------------------------COMMENT
MEDIUMupdate_all_notebooks.py3056# ============================================================================COMMENT
MEDIUMupdate_all_notebooks.py3058# ============================================================================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
MEDIUMtests/test_molab_marimo_validity.py180# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_marimo_validity.py182# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_readme_links.py368# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_readme_links.py370# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_readme_links.py55# ---------------------------------------------------------------------------COMMENT
MEDIUMtests/test_molab_readme_links.py57# ---------------------------------------------------------------------------COMMENT
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Unused Imports463 hits · 457 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.py162CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py477CODE
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.py567CODE
LOWmolab/Sesame_CSM_(1B)-TTS.py163CODE
LOWmolab/Sesame_CSM_(1B)-TTS.py164CODE
LOWmolab/Synthetic_Data_Hackathon.py143CODE
LOWmolab/Synthetic_Data_Hackathon.py145CODE
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/Openenv_wordle_grpo.py134CODE
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.py222CODE
LOWmolab/Gemma3N_(2B)-Inference.py222CODE
LOWmolab/bert_classification.py103CODE
LOWmolab/Qwen3_VL_(8B)-Vision.py210CODE
LOWmolab/LFM2.5_(1.2B)-Text_Completion.py237CODE
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Excessive Try-Catch Wrapping359 hits · 360 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.py4393 print(f"Error: Notebook not found at {notebook_path}")CODE
MEDIUMupdate_all_notebooks.py4395 print(f"Error: Invalid JSON in notebook at {notebook_path}")CODE
MEDIUMupdate_all_notebooks.py5415 print(f"Error: README file '{readme_path}' not found.")CODE
MEDIUMupdate_all_notebooks.py5417 print(f"Error processing README: {ve}")CODE
MEDIUMupdate_all_notebooks.py5419 print(f"An error occurred while updating {readme_path}: {e}")CODE
MEDIUMupdate_all_notebooks.py4852 print(f"Error processing {notebook_name}: {e}")CODE
MEDIUMupdate_all_notebooks.py1693def _validate_vllm_install_usage(notebook_path):CODE
MEDIUMupdate_all_notebooks.py2464def _split_pip_args(arg_string):CODE
MEDIUMupdate_all_notebooks.py3487def _safe_int(v):CODE
MEDIUMupdate_all_notebooks.py5705def _apply_global_fixes(nb_path):CODE
LOWupdate_all_notebooks.py4396 except Exception as e:CODE
LOWupdate_all_notebooks.py5418 except Exception as e:CODE
LOWupdate_all_notebooks.py44except Exception:CODE
LOWupdate_all_notebooks.py50except Exception:CODE
LOWupdate_all_notebooks.py156except Exception:CODE
LOWupdate_all_notebooks.py1379 except Exception:CODE
LOWupdate_all_notebooks.py1406 except Exception:CODE
LOWupdate_all_notebooks.py1425 except Exception:CODE
LOWupdate_all_notebooks.py1556 except Exception:CODE
LOWupdate_all_notebooks.py2032 except Exception:CODE
LOWupdate_all_notebooks.py2678except Exception:CODE
LOWupdate_all_notebooks.py2926 except Exception:CODE
LOWupdate_all_notebooks.py3471 except Exception:CODE
LOWupdate_all_notebooks.py3482 except Exception:CODE
LOWupdate_all_notebooks.py3660 except Exception:CODE
LOWupdate_all_notebooks.py3766 except Exception:CODE
LOWupdate_all_notebooks.py4550 except Exception:CODE
LOWupdate_all_notebooks.py4560 except Exception:CODE
LOWupdate_all_notebooks.py4626 except Exception:CODE
LOWupdate_all_notebooks.py4663 except Exception as e:CODE
LOWupdate_all_notebooks.py4770 except Exception as e:CODE
LOWupdate_all_notebooks.py4851 except Exception as e:CODE
LOWupdate_all_notebooks.py5180 except Exception as e:CODE
LOWupdate_all_notebooks.py5184 except Exception as e:CODE
LOWupdate_all_notebooks.py5543 except Exception:CODE
LOWupdate_all_notebooks.py5701 except Exception:CODE
LOWupdate_all_notebooks.py5737 except Exception as e:CODE
LOWupdate_all_notebooks.py5838 except Exception as e:CODE
LOWupdate_all_notebooks.py5998 except Exception:CODE
LOWupdate_all_notebooks.py6016 except Exception:CODE
LOWupdate_all_notebooks.py6119 except Exception:CODE
LOWupdate_all_notebooks.py6141 except Exception:CODE
LOWupdate_all_notebooks.py6165 except Exception as _molab_exc: # noqa: BLE001 - keep molab failures non-fatalCODE
LOWupdate_all_notebooks.py3394 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.py316 except Exception:STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py447 except Exception as e:STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py528 except Exception as e:STRING
LOWmolab/FunctionGemma_(270M).py535 except Exception:STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py620 except Exception as e:STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py631 except Exception as e:STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py855 except Exception as e:STRING
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AI Slop Vocabulary145 hits · 333 pts
SeverityFileLineSnippetContext
LOWupdate_all_notebooks.py226 # If you're not in Colab, just use pip install or uv pip installCOMMENT
LOWupdate_all_notebooks.py236 # If you're not in Colab, just use pip install!COMMENT
LOWupdate_all_notebooks.py291 # If you're not in Colab, just use pip install!COMMENT
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.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
LOWpython_scripts/LFM2.5_(1.2B)-GRPO.py37# 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.py48# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/LFM2.5_(1.2B)-GRPO.py300# 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.py300# 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.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py102# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
LOWpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_8B_FP8_GRPO.py391# 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.py391# 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.py100# 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.py156# 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.py226 # Here we show both, but you could just use `context`.COMMENT
LOWpython_scripts/Llama_FP8_GRPO.py37# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
LOWpython_scripts/Llama_FP8_GRPO.py48# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/Llama_FP8_GRPO.py388# 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.py388# 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.py74# This cell performs comprehensive data processing:COMMENT
MEDIUMpython_scripts/Kaggle-Phi_4_(14B)-GRPO.py74# 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.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUM…n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py102# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
LOWpython_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py39# 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).py50# # If you're not in Colab, just use pip install!COMMENT
LOWpython_scripts/Qwen2_5_7B_VL_GRPO.py37# 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.py48# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/AMD-Llama3.1_(8B)-GRPO.py92# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUM…n_scripts/Qwen3_(32B)_A100-Reasoning-Conversational.py100# 2. We also leverage [Maxime Labonne's FineTome-100k](https://huggingface.co/datasets/mlabonne/FineTome-100k) dataset iCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen3_(4B)-GRPO.py292# 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.py292# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
LOWpython_scripts/Gemma4_(E2B)_GRPO.py31# # If you're not in Colab, just use pip install!COMMENT
LOWpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py102# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUMpython_scripts/Qwen3_(14B).py100# 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.py286# 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.py286# 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.py92# We directly leverage [@willccbb](https://gist.github.com/willccbb/4676755236bb08cab5f4e54a0475d6fb) for data prep and COMMENT
MEDIUMpython_scripts/Kaggle-Llama_FP8_GRPO.py365# 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.py365# We're using Hugging Face's [Open R1 Math dataset](https://huggingface.co/datasets/open-r1/DAPO-Math-17k-Processed). YoCOMMENT
LOWpython_scripts/Qwen3_5_(4B)_Vision_GRPO.py45# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/Kaggle-Llama3_(8B)-Ollama.py405# [Unsloth](https://github.com/unslothai/unsloth) now allows you to automatically finetune and create a [Modelfile](httpCOMMENT
MEDIUMpython_scripts/Kaggle-Llama3_(8B)-Ollama.py405# [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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/AMD-Llama_FP8_GRPO.py380# 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.py380# 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.py39# 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.py50# # If you're not in Colab, just use pip install!COMMENT
MEDIUMpython_scripts/HuggingFace Course-Qwen3_(4B)-GRPO.py317# 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.py317# 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.py155# 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.py225 # Here we show both, but you could just use `context`.COMMENT
LOWpython_scripts/Gemma3_(4B)-Vision-GRPO.py37# get_ipython().run_cell_magic('capture', '', 'import os\nos.environ["UNSLOTH_VLLM_STANDBY"] = "1" # [NEW] Extra 30% conCOMMENT
85 more matches not shown…
Hyper-Verbose Identifiers293 hits · 250 pts
SeverityFileLineSnippetContext
LOWupdate_max_seq_length.py59def update_max_seq_length_in_source(source):CODE
LOWupdate_all_notebooks.py5424def copy_and_update_notebooks(CODE
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LOWupdate_all_notebooks.py165def update_or_append_pip_install(base_content, package_name, new_install_line):CODE
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LOWupdate_all_notebooks.py1685def _is_stale_amd_announcement(source_text):CODE
LOWupdate_all_notebooks.py1693def _validate_vllm_install_usage(notebook_path):CODE
LOWupdate_all_notebooks.py1726def _assert_vllm_install_usage_or_fast_inference(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py1758def _validate_amd_install_package_parity(amd_notebook_path):CODE
LOWupdate_all_notebooks.py1797def _assert_amd_install_package_parity(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py1826def _validate_amd_install_runtime(notebook_path):CODE
LOWupdate_all_notebooks.py1883def _assert_amd_install_runtime(notebook_files, max_workers=1, executor_type="process"):CODE
LOWupdate_all_notebooks.py1908def _get_base_name_from_filename(filename):CODE
LOWupdate_all_notebooks.py1960def _strip_extra_trailing_blank_lines(lines):CODE
LOWupdate_all_notebooks.py2454def _iter_pip_install_arg_strings(text):CODE
LOWupdate_all_notebooks.py2471def _package_key_from_install_token(token):CODE
LOWupdate_all_notebooks.py2513def _extract_install_package_groups(text):CODE
LOWupdate_all_notebooks.py2591def _extract_install_package_names_from_text(text):CODE
LOWupdate_all_notebooks.py2628def _extract_preserved_setup_lines(text):CODE
LOWupdate_all_notebooks.py2668def _build_qat_version_vars_block():CODE
LOWupdate_all_notebooks.py2717def _compose_amd_installation(notebook_path, source_install_texts):CODE
LOWupdate_all_notebooks.py2829def _prepend_missing_stdlib_imports(cell_text):CODE
LOWupdate_all_notebooks.py2852def _append_missing_amd_install_groups(new_install_text, source_install_text):CODE
LOWupdate_all_notebooks.py2893def extract_model_info_refined(filename, architecture_mapping, known_types_ordered):CODE
LOWupdate_all_notebooks.py3518def refresh_model_created_cache(notebook_paths, cache_path=_MODEL_CREATED_CACHE_PATH):CODE
LOWupdate_all_notebooks.py4510def _should_fallback_process_error(exc):CODE
LOWupdate_all_notebooks.py4531def _can_use_process_executor():CODE
LOWupdate_all_notebooks.py5098 def _make_section_row_sort_key(section_name):CODE
LOWupdate_all_notebooks.py5511def copy_and_update_amd_notebooks(CODE
LOWupdate_all_notebooks.py5609def convert_notebook_to_script(notebook_path: str, output_path: str):CODE
LOWupdate_all_notebooks.py5684def _ensure_memory_stats_hidden(nb_path):CODE
LOWupdate_all_notebooks.py3185def notebook_uses_fast_inference(notebook_path):STRING
LOWupdate_all_notebooks.py3292def extract_hf_model_refs_from_notebook(notebook_path):STRING
LOWupdate_all_notebooks.py3355def _load_model_created_cache(cache_path=_MODEL_CREATED_CACHE_PATH):STRING
LOWupdate_all_notebooks.py3399def _write_model_created_cache(cache, cache_path=_MODEL_CREATED_CACHE_PATH):STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py324 def check_only_stdlib_imports(code: str):STRING
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py454 def create_locked_down_function(function):STRING
LOWmolab/FunctionGemma_(270M).py466 def prepare_messages_and_tools(example):STRING
LOWmolab/Deepseek_OCR_2_(3B).py416 def calculate_image_token_count(CODE
LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py635 def get_usd_to_euro_conversion_rate() -> float:CODE
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.py172 def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]:STRING
LOWmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py344 def _update_state_after_change(self) -> None:STRING
LOWmolab/gpt-oss-(20B)-GRPO.py332 def check_only_stdlib_imports(code: str):STRING
LOWmolab/gpt-oss-(20B)-GRPO.py462 def create_locked_down_function(function):STRING
LOWmolab/Deepseek_OCR_(3B)-Evaluation.py535 def calculate_image_token_count(CODE
LOWmolab/Deepseek_OCR_(3B).py416 def calculate_image_token_count(CODE
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py147 def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]:STRING
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py319 def _update_state_after_change(self) -> None:STRING
LOWmolab/Oute_TTS_(1B).py256 def create_speaker_representation(self, audio_bytes: bytes, transcript: str):STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py137 def _compress_and_merge_row_left(row: List[int]) -> Tuple[List[int], int, bool]:STRING
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py309 def _update_state_after_change(self) -> None:STRING
LOWmolab/gpt-oss-(20B)_A100-GRPO.py332 def check_only_stdlib_imports(code: str):STRING
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Deep Nesting254 hits · 238 pts
SeverityFileLineSnippetContext
LOWupdate_all_notebooks.py1297CODE
LOWupdate_all_notebooks.py1551CODE
LOWupdate_all_notebooks.py1908CODE
LOWupdate_all_notebooks.py1967CODE
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LOWupdate_all_notebooks.py2591CODE
LOWupdate_all_notebooks.py2628CODE
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LOWupdate_all_notebooks.py3292CODE
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LOWupdate_all_notebooks.py4636CODE
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LOWupdate_all_notebooks.py5684CODE
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LOWupdate_all_notebooks.py2182CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py288CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py476CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py734CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py295CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py741CODE
LOWmolab/gpt_oss_(20B)_GRPO_BF16.py512CODE
LOWmolab/NeMo-Gym-Multi-Environment.py165CODE
LOWmolab/FunctionGemma_(270M).py458CODE
LOWmolab/FunctionGemma_(270M).py466CODE
LOWmolab/Deepseek_OCR_2_(3B).py337CODE
LOWmolab/Deepseek_OCR_2_(3B).py518CODE
LOWmolab/Synthetic_Data_Hackathon.py64CODE
LOWmolab/Llasa_TTS_(1B).py187CODE
LOWmolab/Llasa_TTS_(1B).py201CODE
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.py165CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py711CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py187CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py722CODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py286CODE
LOWmolab/gpt-oss-(20B)-GRPO.py296CODE
LOWmolab/gpt-oss-(20B)-GRPO.py484CODE
LOWmolab/gpt-oss-(20B)-GRPO.py742CODE
LOWmolab/gpt-oss-(20B)-GRPO.py303CODE
LOWmolab/gpt-oss-(20B)-GRPO.py749CODE
LOWmolab/gpt-oss-(20B)-GRPO.py520CODE
LOWmolab/ERNIE_4_5_VL_28B_A3B_PT_Vision.py354CODE
LOWmolab/ERNIE_4_5_VL_28B_A3B_PT_Vision.py377CODE
LOWmolab/Deepseek_OCR_(3B)-Evaluation.py454CODE
LOWmolab/Deepseek_OCR_(3B)-Evaluation.py640CODE
LOWmolab/Deepseek_OCR_(3B).py337CODE
194 more matches not shown…
Synthetic Comment Markers34 hits · 232 pts
SeverityFileLineSnippetContext
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py233# Kernel generated by GPT-5STRING
HIGHmolab/gpt_oss_(20B)_GRPO_BF16.py381 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.py241# Kernel generated by GPT-5STRING
HIGHmolab/gpt-oss-(20B)-GRPO.py389 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.py241# Kernel generated by GPT-5STRING
HIGHmolab/gpt-oss-(20B)_A100-GRPO.py389 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.py137# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt_oss_(20B)_GRPO_BF16.py261# 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.py135# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)_A100-GRPO.py259# 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.py157# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Gemma4_(E2B)_GRPO.py281# 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.py139# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)_A100-GRPO.py263# 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.py139# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt-oss-(20B)-GRPO.py263# 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.py139# Kernel generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt-oss-(20B)_A100-GRPO.py263# 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.py137# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/Kaggle-gpt_oss_(20B)_GRPO_BF16.py261# 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.py139# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/HuggingFace Course-gpt-oss-(20B)-GRPO.py263# 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.py139# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)-GRPO.py263# 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.py139# Kernel generated by GPT-5COMMENT
HIGH…_scripts/HuggingFace Course-gpt_oss_(20B)_GRPO_BF16.py263# 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.py139# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/gpt-oss-(20B)_A100-GRPO.py263# 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.py135# Kernel generated by GPT-5COMMENT
HIGHpython_scripts/AMD-gpt-oss-(20B)-GRPO.py259# 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.py166# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py50# 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.py52# 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.py54# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/AMD-Llama3.2_(1B)-RAFT.py68# 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.py86# 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.py209# 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.py166# 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.py166# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMpython_scripts/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/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/Llama3.2_(1B)-RAFT.py53# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/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/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/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/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.py165# 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.py49# 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.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/Kaggle-Llama3.2_(1B)-RAFT.py53# > Reference: [RAFT: Adapting Language Model to Domain Specific RAG](https://arxiv.org/abs/2403.10131)COMMENT
MEDIUMpython_scripts/Kaggle-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/Kaggle-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/Kaggle-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
MEDIUM…thon_scripts/Kaggle-gpt-oss-(120B)_A100-Fine-tuning.py166# The `HuggingFaceH4/Multilingual-Thinking` dataset will be utilized as our example. This dataset, available on Hugging COMMENT
MEDIUMscripts/molab_dependencies.py446 # scaffolding (``import os, re``, the ``if "COLAB_" ...``COMMENT
MEDIUMscripts/molab_dependencies.py793 # scaffolding-line entries (``import os, re``, ``if "COLAB_" ...``)COMMENT
MEDIUMscripts/molab_dependencies.py810# 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.py440# 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.py424# 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.py124# 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.py381# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/bert_classification.py117# 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.py83# 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.py367# In this example, we will train the model using Group Relative Policy Optimization (GRPO), an efficient and effective rCOMMENT
HIGHpython_scripts/Kaggle-bert_classification.py117# 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.py335 # 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.py173# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen3_VL_(8B)-Vision-GRPO.py151# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Qwen3_VL_(8B)-Vision-GRPO.py151# 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.py171# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Qwen3_5_(4B)_Vision_GRPO.py166# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…cripts/HuggingFace Course-Qwen3_VL_(8B)-Vision-GRPO.py176# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Gemma3_(4B)-Vision-GRPO.py196# 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.py163# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py291# Create an easy puzzleCOMMENT
MEDIUM…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py452# 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.py666# Create the training dataset.COMMENT
MEDIUMpython_scripts/AMD-Qwen3_VL_(8B)-Vision-GRPO.py166# 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.py284# Create an easy puzzleCOMMENT
MEDIUM…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py445# 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.py663# Create the training dataset.COMMENT
MEDIUMpython_scripts/AMD-Gemma3_(4B)-Vision-GRPO.py188# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Qwen2_5_7B_VL_GRPO.py148# 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).py147 # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterfaceCOMMENT
MEDIUMpython_scripts/Kaggle-Gemma3_(4B)-Vision-GRPO.py173# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUM…_scripts/HuggingFace Course-Gemma3_(4B)-Vision-GRPO.py198# Define the delimiter variables for clarity and easy modificationCOMMENT
MEDIUMpython_scripts/Kaggle-Oute_TTS_(1B).py147 # Create a dummy ModelConfig mainly for device and paths needed by AudioProcessor/DacInterfaceCOMMENT
MEDIUMpython_scripts/AMD-Oute_TTS_(1B).py149 # 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.py1984 # Check if this line continues (ends with backslash)COMMENT
LOWupdate_all_notebooks.py4311 # Check if the last cell already contains footer content using key markersCOMMENT
LOWupdate_all_notebooks.py4322 # 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.py288 RESET = "\x1b[0m" # Check if placement is validCODE
LOW…lab/Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py303 ): # 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).py422 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_2_(3B).py422 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B)-Evaluation.py564 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Meta_Synthetic_Data_Llama3_2_(3B).py99# Check if it succeeded:COMMENT
LOWpython_scripts/AMD-Meta_Synthetic_Data_Llama3_2_(3B).py87# Check if it succeeded:COMMENT
LOW…on_scripts/Kaggle-Meta_Synthetic_Data_Llama3_2_(3B).py74# Check if it succeeded:COMMENT
LOWpython_scripts/Kaggle-Whisper.py106#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.py113#Set this to the language you want to train onCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_(3B)-Eval.py422 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B)-Eval.py429 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_2_(3B).py422 # Check if this is the assistant's turnCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py223 # Check if placement is validCOMMENT
LOW…Ministral_3_(3B)_Reinforcement_Learning_Sudoku_Game.py236 # Check if puzzle is completeCOMMENT
LOWpython_scripts/Whisper.py106#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.py216 # Check if placement is validCOMMENT
LOW…AMD-Gemma4_(E2B)_Reinforcement_Learning_Sudoku_Game.py229 # Check if puzzle is completeCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B)-Evaluation.py557 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B).py422 # 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).py438 # Check if penalties should be appliedCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_2_(3B).py429 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/AMD-Deepseek_OCR_(3B).py429 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Deepseek_OCR_(3B)-Eval.py422 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Deepseek_OCR_(3B)-Evaluation.py557 # Check if this is the assistant's turnCOMMENT
LOWpython_scripts/Kaggle-Oute_TTS_(1B).py438 # Check if penalties should be appliedCOMMENT
LOWpython_scripts/AMD-Oute_TTS_(1B).py440 # 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 · 40 pts
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LOWmolab/NeMo-Gym-Multi-Environment.py181 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py189 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py210 # Step 3: Create sudoku datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py229 # Step 4: Download instruction_following datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py246 # Step 5: Create resources_only.yaml for instruction_following if missingSTRING
LOWmolab/NeMo-Gym-Sudoku.py175 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Sudoku.py183 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Sudoku.py204 # Step 3: Create datasetSTRING
LOWpython_scripts/NeMo-Gym-Multi-Environment.py126# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py134# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py151# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py168# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py185# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py110# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py118# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py135# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py152# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py169# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py120# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py128# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py145# Step 3: Create datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py106# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py114# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py131# Step 3: Create datasetCOMMENT
Structural Annotation Overuse24 hits · 40 pts
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LOWmolab/NeMo-Gym-Multi-Environment.py181 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py189 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py210 # Step 3: Create sudoku datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py229 # Step 4: Download instruction_following datasetSTRING
LOWmolab/NeMo-Gym-Multi-Environment.py246 # Step 5: Create resources_only.yaml for instruction_following if missingSTRING
LOWmolab/NeMo-Gym-Sudoku.py175 # Step 1: Clone NeMo GymSTRING
LOWmolab/NeMo-Gym-Sudoku.py183 # Step 2: Create venv and install dependenciesSTRING
LOWmolab/NeMo-Gym-Sudoku.py204 # Step 3: Create datasetSTRING
LOWpython_scripts/NeMo-Gym-Multi-Environment.py126# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py134# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py151# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py168# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/NeMo-Gym-Multi-Environment.py185# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py110# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py118# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py135# Step 3: Create sudoku datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py152# Step 4: Download instruction_following datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Multi-Environment.py169# Step 5: Create resources_only.yaml for instruction_following if missingCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py120# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py128# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/NeMo-Gym-Sudoku.py145# Step 3: Create datasetCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py106# Step 1: Clone NeMo GymCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py114# Step 2: Create venv and install dependenciesCOMMENT
LOWpython_scripts/AMD-NeMo-Gym-Sudoku.py131# Step 3: Create datasetCOMMENT
AI Structural Patterns21 hits · 20 pts
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LOWmolab/Qwen2.5_Coder_(1.5B)-Tool_Calling.py463CODE
LOWpython_scripts/AMD-Qwen2.5_Coder_(1.5B)-Tool_Calling.py366CODE
LOWpython_scripts/HuggingFace Course-Qwen2.5_(3B)-GRPO.py150CODE
LOWpython_scripts/Qwen2.5_Coder_(1.5B)-Tool_Calling.py359CODE
LOWpython_scripts/Kaggle-Phi_4_(14B)-GRPO.py122CODE
LOW…n_scripts/HuggingFace Course-Mistral_v0.3_(7B)-GRPO.py150CODE
LOWpython_scripts/AMD-Llama3.1_(8B)-GRPO.py140CODE
LOWpython_scripts/HuggingFace Course-Llama3.1_(8B)-GRPO.py150CODE
LOWpython_scripts/AMD-Mistral_v0.3_(7B)-GRPO.py140CODE
LOWpython_scripts/Kaggle-Qwen2.5_(3B)-GRPO.py125CODE
LOWpython_scripts/Kaggle-Mistral_v0.3_(7B)-GRPO.py125CODE
LOW…on_scripts/Kaggle-Qwen2.5_Coder_(1.5B)-Tool_Calling.py359CODE
LOWpython_scripts/Llama3.1_(8B)-GRPO.py148CODE
LOWpython_scripts/Kaggle-Llama3.1_(8B)-GRPO.py125CODE
LOWpython_scripts/Qwen2.5_(3B)-GRPO.py148CODE
LOWpython_scripts/AMD-Phi_4_(14B)-GRPO.py137CODE
LOWpython_scripts/HuggingFace Course-Phi_4_(14B)-GRPO.py147CODE
LOWpython_scripts/AMD-Qwen2.5_(3B)-GRPO.py140CODE
LOWpython_scripts/Mistral_v0.3_(7B)-GRPO.py148CODE
LOWpython_scripts/Phi_4_(14B)-GRPO.py145CODE
LOWscripts/molab_generate.py615CODE
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.py181 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.py174 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.py174 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.py276 def _update_state(self) -> None:CODE
LOWmolab/Gemma4_(E2B)_Reinforcement_Learning_2048_Game.py344 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.py251 def _update_state_after_change(self) -> None:CODE
LOW…gpt_oss_(20B)_Reinforcement_Learning_2048_Game_BF16.py225 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.py234 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.py227 def _update_state(self) -> None:CODE
LOW…/AMD-gpt_oss_(20B)_Reinforcement_Learning_2048_Game.py229 def _update_state_after_change(self) -> None:CODE
LOW…ss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.py229 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 Phrases3 hits · 9 pts
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MEDIUMpython_scripts/Kaggle-Llama3.2_(11B)-Vision.py145# 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.py152# We will craft an custom instruction asking the VLM to be an expert radiographer. Notice also instead of just 1 instrucCOMMENT
MEDIUMpython_scripts/Llama3.2_(11B)-Vision.py145# 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.py293# Example usageCOMMENT
LOWpython_scripts/AMD-Whisper.py300# Example usageCOMMENT
LOWpython_scripts/Whisper.py293# Example usageCOMMENT