LegendLeoChen/llm-finetune
使用trl、peft、transformers等库,实现对huggingface上模型的微调。
This tool helps machine learning engineers adapt existing large language models (LLMs) from platforms like Hugging Face to perform better on specific tasks. You provide a dataset relevant to your particular need, and it outputs a fine-tuned model that is more specialized and accurate for your unique use case. This is ideal for AI/ML practitioners looking to customize off-the-shelf models without training from scratch.
No commits in the last 6 months.
Use this if you need to improve the performance of a pre-trained large language model for a particular application by fine-tuning it with your own data.
Not ideal if you are a non-technical user or if you need a fully automated solution without delving into machine learning frameworks.
Stars
10
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/LegendLeoChen/llm-finetune"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
unslothai/unsloth
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama,...
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
modelscope/ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.5, DeepSeek-R1, GLM-5,...
oumi-ai/oumi
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training