baichuan-inc/Baichuan-7B

Health v2 · maintenance only

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Adoption not part of the score

5649 stars · 501 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Baichuan-7B is an open-source, commercially usable 7-billion-parameter pretrained language model built on the Transformer architecture, trained on roughly 1.2 trillion tokens of bilingual Chinese-English data with a 4096-token context window. The repository provides the model code, inference and finetuning support via Hugging Face Transformers, and evaluation scripts for benchmarks like C-Eval and MMLU.

Use cases

• run inference with an open-source chinese-english 7B language model
• finetune a commercially licensed alternative to LLaMA
• evaluate a 7B model on C-Eval and MMLU benchmarks
• build chinese-language text generation applications
• use a pretrained LLM as a base for downstream nlp tasks

When to choose

• you need a permissively licensed (Apache-2.0) 7B model for commercial use
• your application is Chinese-focused and needs strong C-Eval performance at 7B scale
• you want a Hugging Face Transformers-compatible base model for finetuning

When to avoid

• you need the newest or best-performing Baichuan model - Baichuan 2 supersedes this one
• you need instruction-tuned chat behavior out of the box, since this is a base pretrained model
• you lack GPU resources to run a 7-billion-parameter model

Facets

library · maturity maintenance

llm-inference llm-training machine-learning nlp large-language-models artificial-intelligence python pretrained-language-model chinese-english-bilingual transformer 7b-parameters huggingface-transformers commercial-use-allowed superseded-by-baichuan2 natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="baichuan-inc/Baichuan-7B")