Yi
01.AI Yi open-weight bilingual models (EN/ZH focus) with Apache-2.0 or Yi license per checkpoint on Hugging Face.
Why it is included
Strong open option for Chinese–English workloads and multilingual finetunes.
Best for
Teams needing capable open bases for CN/EN products.
Strengths
- Bilingual quality
- Multiple sizes
- HF ecosystem
Limitations
- License check per version
Good alternatives
Qwen · DeepSeek · Llama
Related tools
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Qwen
Alibaba’s Qwen family (dense and MoE) with strong multilingual and coding variants; weights and code on Hugging Face under stated licenses per release.
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DeepSeek
DeepSeek open-weight models (e.g. V3/R1 lineage) with MIT or custom terms per release—high capability coding and reasoning checkpoints.
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BLOOM
BigScience 176B multilingual causal LM—landmark collaborative open training effort on Jean Zay (weights under BigScience Responsible AI License).
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Meta Llama (open models)
Meta’s Llama family of open **weights** (subject to Llama license) with reference code, tooling, and downloads via Hugging Face and meta-llama org.
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Mistral AI (open models)
Mistral’s open-weight checkpoints (e.g. 7B era, Mixtral MoE) and Apache-2.0–licensed **code** alongside proprietary flagship lines—verify each checkpoint.
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Google Gemma
Google’s smaller open **weights** Gemma line (Gemma 2/3, etc.) with Gemma license terms, plus `gemma.cpp` for lightweight CPU inference.