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Model Library
/Mistral/Mixtral 8x7B v0.1
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Mixtral 8x7B v0.1

Ready
model path:accounts/fireworks/models/mixtral-8x7b

Mixtral 8x7B v0.1 is a sparse mixture-of-experts (SMoE) large language model developed by Mistral AI. With 46.7 billion total parameters and 12.9 billion active parameters per token, it outperforms Llama 2 70B and matches GPT-3.5 on many benchmarks while offering efficient inference. The model handles context lengths up to 32k tokens, supports multiple languages including English, French, Italian, German, and Spanish, and excels in code generation tasks. Licensed under Apache 2.0, Mixtral provides a powerful and efficient solution for diverse NLP applications.

Mixtral 8x7B v0.1 API Features

On-demand Deployment

Docs

On-demand deployments allow you to use Mixtral 8x7B v0.1 on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

Metadata

State
Ready
Created on
12/9/2023
Kind
Base model
Provider
Mistral

Specification

Calibrated
No
Mixture-of-Experts
Yes
Parameters
46B

Supported Functionality

Fine-tuning
Not supported
Serverless
Not supported
Context Length
32.7k tokens
Function Calling
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported