LLM Reference

Using Mixtral 8x7B on SiliconFlow

Implementation guide · Mixtral · MistralAI

Serverless

Quick Start

  1. 1
    Create an account at SiliconFlow and generate an API key.
  2. 2
    Use the SiliconFlow SDK or REST API to call mixtral-8x7b.
  3. 3
    You'll be billed $0.20/1M input, $0.20/1M output tokens.

Code Examples

Code examples for this provider have not been sourced yet.

About SiliconFlow

SiliconFlow is a model serving platform for open and closed model inference, offering fast and cost-effective API access to popular AI models.

Pricing on SiliconFlow

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

No model capability flags are currently sourced.

About Mixtral 8x7B

Mixtral 8x7B, developed by Mistral AI, features a cutting-edge Mixture of Experts (MoE) architecture, utilizing eight experts with seven billion parameters each, yielding a total of 46.7 billion parameters. This architecture activates only two experts per token, allowing for efficient processing and a 6x faster inference rate compared to Llama 2 70B. The model excels in performance, surpassing Llama 2 70B and competing with GPT-3.5 on numerous benchmarks. It supports multiple languages and can handle context up to 32,000 tokens, enhancing understanding of lengthy text. Designed for diverse tasks, it is strong in code generation and available under a permissive Apache 2.0 license, promoting community engagement. Compatible with various optimization tools, its weights are easily deployable, with Mistral AI continuing to improve its capabilities through performance optimizations and fine-tuning efforts.

Model Specs

Released2023-12-11
Parameters8x7B
Context32K
ArchitectureMixture of Experts
Knowledge cutoff2023-12

Provider

SiliconFlow