Mistral-7B-Instruct-v0.3

Name: Mistral-7B-Instruct-v0.3
Author: MistralAI

Chat modelMistral

Release date: 2024-05-22Updated: 2024-05-23Views: 880

Live demoGitHubHugging Face Compare

Parameters

Context length

Multilingual

No data

Reasoning ability

No data

Mistral-7B-Instruct-v0.3 is an AI model published by MistralAI, released on 2024-05-22, for Chat model, with 7B parameters, and 4K context length, requiring about 14GB storage, with a 64.20 score on MMLU.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Mistral-7B-Instruct-v0.3

Model basics

Reasoning traces

No data

Thinking modes

Thinking modes not supported

Context length

4K tokens

Max output length

No data

Model type

Chat model

Modality (in / out)

No data

Release date

2024-05-22

Model file size

14GB

MoE architecture

Total params / Active params

7B / Not applicable

Knowledge cutoff

No data

Mistral-7B-Instruct-v0.3

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

N/A

Hugging Face

huggingface.co/mistralai/Mistral-7B-Instruct-v0…

Live demo

N/A

Mistral-7B-Instruct-v0.3

Official resources

Paper

N/A

DataLearnerAI blog

N/A

Mistral-7B-Instruct-v0.3

API details

API speed

No data

No public API pricing yet.

Mistral-7B-Instruct-v0.3

Benchmark Results

Mistral-7B-Instruct-v0.3 currently shows benchmark results led by MBPP (65 / 96, score 51.10), MMLU (85 / 124, score 64.20), GSM8K (51 / 70, score 36.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.