AI BriefingMistral releases Mixtral 8x7b
Key point
Mistral AI's new MoE model Mixtral 8x7b has been released, and it outperforms GPT-3.5.
Details
Mixtral 8x7b is a model that applies Mixture of Experts (MoE) technology to integrate 8 expert models into one. By selecting only 2 experts when processing each token, it achieves fast inference speed on par with a 12B parameter dense model, despite having a larger actual parameter count.
Key features are as follows:
- Supports 32k context length
- Outperforms Llama 2 70B, and matches or exceeds GPT-3.5 on most benchmarks
- Supports English, French, German, Spanish, and Italian, with excellent coding ability (HumanEval 40.2%)
- Available for commercial use under the Apache 2.0 license
Hugging Face provides ecosystem-wide integration features, including model hub availability, Inference Endpoints and Text Generation Inference (TGI) integration, single-GPU fine-tuning using TRL, and 4-bit quantization support.
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