hscspring/hcgf
Humanable Chat Generative-model Fine-tuning | LLM微调
This project helps you customize large language models like ChatGLM, Qwen, and LLaMA for your specific needs. You provide a dataset of 'prompt' and 'completion' examples, and it outputs a fine-tuned model that can generate responses tailored to your custom data. This is for professionals like content creators, customer service managers, or data scientists who want an AI assistant that understands their unique jargon or responds in a very specific way.
207 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to adapt an existing large language model to generate very specific types of text or answers based on your own proprietary dataset.
Not ideal if you're looking for a simple, no-code solution or if your data involves complex, multi-node training setups.
Stars
207
Forks
21
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 22, 2023
Commits (30d)
0
Dependencies
4
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/hscspring/hcgf"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
agentscope-ai/Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement...
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO &...
zjunlp/EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
hyunwoongko/nanoRLHF
nanoRLHF: from-scratch journey into how LLMs and RLHF really work.