Stable LM 2
PaidCompact multilingual small language model for developers
About Stable LM 2
Stable LM 2 1.6B is a state-of-the-art small language model developed by Stability AI, featuring 1.6 billion parameters and trained on approximately 2 trillion tokens across multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch. It offers both a pre-trained base model and an instruction-tuned version, along with the final pre-training checkpoint and optimizer states to facilitate fine-tuning and experimentation. The model outperforms many models under 2B parameters on standard benchmarks (ARC Challenge, HellaSwag, TruthfulQA, MMLU, LAMBADA) and matches larger models in MT Bench evaluations, while maintaining a compact size suitable for developers with moderate resources. Stability AI also highlights common limitations of small models, such as high hallucination rates and potential toxic language, encouraging responsible use.
Key Features
Pros & Cons
- Compact size lowers hardware barriers for developers
- Outperforms most models under 2B parameters on standard benchmarks
- Multilingual training across seven languages
- Release of optimizer states enables easier fine-tuning and continued pre-training
- Available for both commercial and non-commercial use with a Stability AI Membership
- Small capacity leads to high hallucination rates
- May exhibit potential toxic language
- Limited to 1.6B parameters, may not match performance of larger models on complex tasks
- Membership required for commercial use (free tier unclear)
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