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Ministral 3 8B Instruct 2512 by mlx-community

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Ministral 3 8B Instruct 2512 is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 16.9GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

  Ar Base model:mistralai/ministral... Base model:quantized:mistralai...   Conversational   De   En   Es   Fp8   Fr   Instruct   It   Ja   Ko   Mistral-common   Mistral3   Mlx   Nl   Pt   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/mlx-community/Ministral-3-8B-Instruct-2512 

Ministral 3 8B Instruct 2512 Benchmarks

LLME Score: 0.23236
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ministral 3 8B Instruct 2512 (mlx-community/Ministral-3-8B-Instruct-2512)
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Ministral 3 8B Instruct 2512 Parameters and Internals

LLM NameMinistral 3 8B Instruct 2512
Repository 🤗https://huggingface.co/mlx-community/Ministral-3-8B-Instruct-2512 
Base Model(s)  Ministral 3 8B Instruct 2512   mistralai/Ministral-3-8B-Instruct-2512
Model Size8b
Required VRAM16.9 GB
Updated2026-05-28
Maintainermlx-community
Model Typemistral3
Instruction-BasedYes
Model Files  5.3 GB: 1-of-4   5.3 GB: 2-of-4   5.2 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen fr es de it pt nl zh ja ko ar
Model ArchitectureMistral3ForConditionalGeneration
Licenseapache-2.0
Transformers Version5.0.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<pad>

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...al 3 8B Instruct 2512 Bnb 4bit0K / 6.8 GB5220
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Ministral-3-8B-Instruct-2512.

Rank the Ministral 3 8B 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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