fine_tune_gpt2_jsonl_memory_optimized
100 / 100 · Low risk
Fine to try.
Fine-tunes a pre-trained GPT-2 model on JSONL datasets (e.g., Q&A pairs) using Hugging Face Transformers. Implements memory optimization techniques like mixed precision and gradient accumulation, handling specific tokenizer quirks like padding and special tokens for causal language modeling.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'fine-tune-gpt2-jsonl-memory-optimized' ] || [ -L ~/.agents/skills/'fine-tune-gpt2-jsonl-memory-optimized' ]; then echo 'A skill folder named fine-tune-gpt2-jsonl-memory-optimized already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt4_8/fine_tune_gpt2_jsonl_memory_optimized' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt4_8/fine_tune_gpt2_jsonl_memory_optimized' ~/.agents/skills/'fine-tune-gpt2-jsonl-memory-optimized' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'fine-tune-gpt2-jsonl-memory-optimized' ~/.claude/skills/'fine-tune-gpt2-jsonl-memory-optimized' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/ECNU-ICALK/AutoSkill/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | 94c47ca | 100 |
| 2026-11-07 | 94c47ca | 100 |