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Ministral 3 3B Instruct 2512 by mistralai

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Ministral 3 3B Instruct 2512 is an open-source language model by mistralai. Features: 3b LLM, VRAM: 4.7GB, Context: 256K, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.37.

  Arxiv:2601.08584   Ar Base model:mistralai/ministral... Base model:quantized:mistralai...   De   En   Es   Fp8   Fr   Instruct   It   Ja   Ko   Mistral-common   Mistral3   Nl   Pt   Region:us   Safetensors   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512 

Ministral 3 3B Instruct 2512 Benchmarks

LLME Score: 0.36662
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ministral 3 3B Instruct 2512 (mistralai/Ministral-3-3B-Instruct-2512)
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Ministral 3 3B Instruct 2512 Parameters and Internals

LLM NameMinistral 3 3B Instruct 2512
Repository 🤗https://huggingface.co/mistralai/Ministral-3-3B-Instruct-2512 
Base Model(s)  Ministral 3 3B Base 2512   mistralai/Ministral-3-3B-Base-2512
Model Size3b
Required VRAM4.7 GB
Updated2026-05-25
Maintainermistralai
Instruction-BasedYes
Model Files  4.7 GB   4.7 GB
Supported Languagesen fr es de it pt nl zh ja ko ar
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Context Length262144
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<pad>
Vocabulary Size131072

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...istral 3 3B Instruct 2512 BF16256K / 7.7 GB5082330
Ministral 3 3B Instruct 2512256K / 7.7 GB42324
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Rank the Ministral 3 3B Instruct 2512 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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