Emerald II
1,854 Elo
- #1,010 on the ladder
- −3 today · +52 this week
- Peak 1,858
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
MakazhanAlpamys/Soup is #1,010 on the bestofgithub Elo ladder, in Emerald II, with a rating of 1,854 (+52 this week). It has 10,566 stars, 240 gained in the last week.
1,854 Elo
10,566
pipx install soup-cli🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
git clone https://github.com/huggingface/peft.gitUnified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
git clone https://github.com/hiyouga/LlamaFactory.gitEasily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
git clone https://github.com/oumi-ai/oumi.gitAccessible large language models via k-bit quantization for PyTorch.
git clone https://github.com/bitsandbytes-foundation/bitsandbytes.gitGo ahead and axolotl questions
git clone https://github.com/axolotl-ai-cloud/axolotl.gitAccelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
git clone https://github.com/intel/ipex-llm.gitLoading README…