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ymcui/Chinese-LLaMA-Alpaca-3 ★ 1980 170 APPLICATION

This repository provides a comprehensive toolkit for Chinese Llama-3 models, including base and instruction-tuned versions. It offers scripts for pre-training, fine-tuning, model merging, inference (via Hugging Face transformers, llama.cpp, Ollama, and OpenAI API-compatible server), and evaluation on standard benchmarks (CEval, CMMLU, MMLU, LongBench). The repository follows a modular architecture where each functionality is implemented in separate scripts under the scripts/ directory. Key entry points include training scripts (run_clm_pt_with_peft.py, run_clm_sft_with_peft.py), inference scripts (inference_hf.py, llama_cpp/chat.sh, openai_api_server.py), and evaluation scripts (ceval/eval.py, cmmlu/eval.py, etc.). The model supports LoRA adapters for efficient fine-tuning and provides merging utilities to combine base models with LoRA weights. The code demonstrates good practices in handling model quantization, PEFT integration, and multi-platform deployment.

RATING: 7.5/10 MAINT: active DRIFT: low
llm chinese-language-model lora-finetuning model-inference benchmark-evaluation gguf-quantization openai-api-compatible #alpaca #large-language-models #llama #llama-2 #llama-3 #llm #nlp #llama3
▸ 3 reusable components found
── end of results ──
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