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Ministral 3 3B Base 2512 by mistralai

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Ministral 3 3B Base 2512 is an open-source language model by mistralai. Features: 3b LLM, VRAM: 7.7GB, Context: 256K, License: MNPL-0.1, LLM Explorer Score: 0.32.

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

Ministral 3 3B Base 2512 Benchmarks

LLME Score: 0.32142
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 Base 2512 (mistralai/Ministral-3-3B-Base-2512)
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Ministral 3 3B Base 2512 Parameters and Internals

LLM NameMinistral 3 3B Base 2512
Repository 🤗https://huggingface.co/mistralai/Ministral-3-3B-Base-2512 
Model Size3b
Required VRAM7.7 GB
Updated2026-03-28
Maintainermistralai
Model Files  7.7 GB   5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen fr es de it pt nl zh ja ko ar
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Context Length262144
Model Max Length262144
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072

Best Alternatives to Ministral 3 3B Base 2512

Best Alternatives
Context / RAM
Downloads
Likes
Ministral 3 3B Instruct 2512256K / 4.7 GB136386212
Voxtral Mini 3B 250732K / 9.4 GB470050629
...3.2 3B Instruct QLORA INT4 EO80K /  GB19169
...3B Instruct SpinQuant INT4 EO80K /  GB8637
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Ministral-3-3B-Base-2512.

Rank the Ministral 3 3B Base 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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