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Model details

Mistral 7B Instruct v0.3

Mistral 7B Instruct v0.3 is an instruction-tuned variant built on the Mistral 7B v0.3 base model, designed to follow user instructions and handle conversational tasks with greater reliability. It uses a decoder-only transformer architecture with a Mistral Tokenizer v3 and an extended vocabulary to support nuanced language understanding. The model includes native function calling capabilities, making it suitable for structured prompt handling and task automation in chat applications, code generation, and interactive reasoning scenarios.

The v0.3 iteration refines an earlier instruct version with improved accuracy for production use, drawing from the Mistral AI model family lineage. Instruction fine-tuning was applied to the base v0.3 weights to cultivate instruction-following behavior, and the model supports deployment via vLLM and Transformers engines. Its design emphasizes efficient inference while maintaining quality across instruction-following tasks, and its open-weight status allows developers to run it with full control for custom applications.

DigitalOceanmistral-7b-instruct-v0.3mistral

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Provider
DigitalOcean
Model key
mistral-7b-instruct-v0.3
Release date
May 22, 2024
Last updated
May 22, 2024
Input modalities
Output modalities
Capabilities

Limits

Output tokens
32,768 tokens
Context window
32,768 tokens

Latest news about Mistral 7B Instruct v0.3

DigitalOcean

Coverage

OpenRouter's catalog page for Mistral 7B Instruct v0.3 (mistralai/mistral-7b-instruct-v0.3) documents the upstream model as a 7.3B-parameter dense instruction-tuned model with a 32,768-token context window, an extended vocabulary of 32768, v3 Tokenizer support, and provider-dependent function-calling capability. The li Because OpenRouter is a third-party aggregator rather than a DigitalOcean or Mistral first-party source, its relevance here is limited to cross-provider technical background; provider-specific feature availability such as function calling can differ on DigitalOcean's Dedicated inference deployment. The page also links

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