LinkSoul-AI/Chinese-Llama-2-7b resource
开源社区第一个能下载、能运行的中文 LLaMA2 模型! observed · 2026-08-28
Health v2 · maintenance only
28/100
- Activity 0
- Release rhythm 35
- Longevity 81
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1140
- days_rel: n/a
- days_push: 1043
- n_releases_24m: 0
Adoption not part of the score
2203 stars · 196 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source, commercially usable Chinese-adapted LLaMA 2 7B chat model with a bilingual Chinese-English SFT dataset, following the llama-2-chat input format. The repo provides model weights (including 4-bit and GGML quantized versions), training/inference code, Docker one-click deployment, and Colab demos.
Use cases
- run a chinese llama2 chat model locally
- fine-tune llama2 on chinese instruction data
- deploy a self-hosted chinese chatbot with docker
- download quantized 4bit or ggml llama2 weights
- chat with an open-source bilingual chinese-english llm
- build a chinese assistant compatible with llama-2-chat optimizations
When to choose
- you need a downloadable, commercially usable Chinese LLaMA2 chat model
- you want SFT training data and code for Chinese-English instruction tuning
- you want Docker one-click deployment or Colab demos
- you need quantized (4-bit/GGML) versions for lower-resource inference
When to avoid
- you need a state-of-the-art Chinese LLM with stronger benchmarks (newer models exist)
- you need a multilingual model beyond Chinese/English
- you want an actively developed project rather than a released model snapshot
- you cannot run a 7B parameter model locally or on GPU
Facets
learning-resource · maturity maintenance
llm-inference llm-training chatbot machine-learning large-language-models artificial-intelligence machine-learning python cross-platform llama2 chinese-llm sft-dataset quantization ggml 4bit huggingface self-hosted-llm natural-language-processing docker gpu
1 source
- readme: https://github.com/LinkSoul-AI/Chinese-Llama-2-7b · fetched 2026-08-28 · bb0286b9531d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| LinkSoul-AI/Chinese-Llama-2-7b | main | 28 |
For agents
markdown · JSON · MCP: product_card(name="LinkSoul-AI/Chinese-Llama-2-7b")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem