# CrazyBoyM/llama3-Chinese-chat

Llama3-中文后训练版

Repository: https://github.com/CrazyBoyM/llama3-Chinese-chat
Canonical: https://ross.abutalabs.com/products/llama3-chinese-chat
Homepage: https://huggingface.co/shareAI
Language: Python
License: MIT
License Family: permissive
Topics: llama, llama2, llama3, llama3-chinese, llama3-finetune
Last push: 2026-02-21T08:22:18+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 68, release rhythm 35, longevity 61
- inputs: {"age_days": 867, "days_push": 193, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4146, forks 331 (observed 2026-08-28T04:08:36.393487+00:00)

## What it is
A community repository releasing Chinese post-trained (SFT and DPO) versions of Llama3/Llama3.1, including open model weights, quantized GGUF variants, and the training datasets used. It also collects tutorials covering fine-tuning, inference, and local/API deployment of the Chinese models.

## Use cases
- download a chinese fine-tuned llama3 model
- fine-tune llama3 on chinese conversation data
- run llama3 locally in chinese with lmstudio or gguf
- learn how to do sft and dpo training on an llm
- deploy a chinese chatbot from llama3 weights
- find open chinese instruction-tuning datasets

## When to choose
- you need a Chinese-speaking Llama3 model with open weights and training data
- you want a worked end-to-end example of SFT plus DPO alignment on an open LLM
- you want step-by-step deployment guides (API, LMStudio, web demo) for a fine-tuned model

## When to avoid
- you need a production-grade, actively maintained inference framework rather than model artifacts
- you need strong Chinese performance from a larger or newer base model than Llama3.1-8B
- you need official vendor support or guaranteed updates

## Facets
- artifact type: dataset
- maturity: maintenance
- function: llm-training, llm-inference, chatbot, rag
- domain: large-language-models, machine-learning, tutorials
- platform: python
- tags: llama3, chinese-llm, fine-tuned-model-weights, sft, dpo, rlhf, gguf-quantization, model-weights, chinese-language, training-tutorials, natural-language-processing, localization, gpu, linux, docker

## Member repositories
- CrazyBoyM/llama3-Chinese-chat (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:36.393487+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 2026-08-29T18:22:56.023569+00:00, confidence not recorded.
  - readme: https://github.com/CrazyBoyM/llama3-Chinese-chat (fetched 2026-08-28T04:08:36.393487+00:00, sha d744135324a8)
  - homepage: https://huggingface.co/shareAI (fetched 2026-08-29T09:13:56.787007+00:00, sha cb96d3bdc8ff)
  - site_page: https://huggingface.co/docs (fetched 2026-08-29T09:13:56.796415+00:00, sha bdec26667b98)
  - site_page: https://huggingface.co/docs/hub/organizations-cards (fetched 2026-08-29T09:13:56.800555+00:00, sha 635040b5f704)
  - site_page: https://huggingface.co/pricing (fetched 2026-08-29T09:13:56.798320+00:00, sha de6b7a178be5)
  - site_page: https://huggingface.co/huggingface (fetched 2026-08-29T09:13:56.802300+00:00, sha ef43237bfdd5)
- Data as of 2026-08-30T08:39:29.467469+00:00.