LianjiaTech/BELLE resource

Health v2 · maintenance only

Adoption not part of the score

8275 stars · 756 forks observed · 2026-08-28

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

BELLE is an open-source project providing Chinese-optimized instruction-tuned large language models, training data, and fine-tuning code built on open pretrained backbones like LLaMA and BLOOM. It also releases enhanced Chinese speech recognition models (fine-tuned Whisper) and multimodal variants, along with technical reports on training techniques.

Use cases

• fine-tune a Chinese instruction-following chatbot on an open LLM
• download Chinese instruction tuning datasets generated from ChatGPT
• train models with LoRA or RLHF (PPO/DPO) for Chinese dialogue
• improve Whisper speech recognition accuracy for Chinese audio
• explore multimodal Chinese vision-language models
• reduce the barrier to building custom Chinese LLMs

When to choose

• you need Chinese-language instruction-tuned models or training data
• you want open recipes for LoRA, full fine-tuning, or RLHF on Chinese LLMs
• you need Chinese-optimized speech recognition models
• you are researching how training data quality affects LLM performance

When to avoid

• you need a production-ready hosted chat service rather than models and training code
• your focus is English-only or multilingual models beyond Chinese optimization
• you need actively cutting-edge releases, as updates have slowed since late 2024

Facets

learning-resource · maturity maintenance

llm-training machine-learning speech-recognition rag large-language-models machine-learning speech-processing python chinese-nlp instruction-tuning lora rlhf whisper multimodal open-models chatglm llama natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="LianjiaTech/BELLE")