# LlamaChinese/Llama-Chinese

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Repository: https://github.com/LlamaChinese/Llama-Chinese
Canonical: https://ross.abutalabs.com/products/llama-chinese
Homepage: https://llama.family
Language: Python
License Family: other
Topics: llama, llm, pretraining, agent, llama4, rl
Last push: 2025-04-06T09:16:55+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 15, release rhythm 35, longevity 81
- inputs: {"age_days": 1141, "days_push": 514, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14738, forks 1292 (observed 2026-08-28T04:11:07.574026+00:00)

## What it is
A Chinese-language open-source community hub for the Llama large language model ecosystem, aggregating learning resources, pretrained and fine-tuned Chinese models (e.g., Atom-7B-Chat), and guides for training, quantization, evaluation, and deployment. It includes scripts for LoRA and full-parameter fine-tuning, inference acceleration with vLLM/TensorRT-LLM, and API service examples.

## Use cases
- learn how to fine-tune llama models in chinese
- run llama with a chinese-optimized setup
- deploy llama locally with vllm or tensorrt-llm
- quantize a llama model for cheaper inference
- find llama learning materials and papers
- serve a llama model behind an api
- pretrain a chinese llm from llama weights

## When to choose
- you work with Llama models and want Chinese-language resources, fine-tuned Chinese checkpoints, or deployment guides
- you need ready-made LoRA/full fine-tuning scripts and inference acceleration examples
- you want a community hub tracking the latest Llama releases and evaluations

## When to avoid
- you need a production-supported library with a clear license - the repo has no license file
- you want a single well-tested tool rather than a curated collection of guides and scripts
- your project has no Chinese-language or Llama-specific focus

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-training, llm-inference, rag, agent-framework, machine-learning
- domain: large-language-models, machine-learning, tutorials, awesome-lists
- platform: python, cross-platform
- tags: llama, chinese-nlp, fine-tuning, lora, quantization, model-deployment, community, pretraining, vllm, tensorrt-llm, natural-language-processing, gpu, docker

## Member repositories
- LlamaChinese/Llama-Chinese (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:07.574026+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:07:13.151265+00:00, confidence not recorded.
  - readme: https://github.com/LlamaChinese/Llama-Chinese (fetched 2026-08-28T04:11:07.574026+00:00, sha 0622b7c5581c)
- Data as of 2026-08-30T08:39:29.467469+00:00.