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Ministral 3 14B Instruct 2512 BF16 by mistralai

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Ministral 3 14B Instruct 2512 BF16 is an open-source language model by mistralai. Features: 14b LLM, VRAM: 28GB, Context: 256K, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.27.

  Arxiv:2601.08584   Ar Base model:finetune:mistralai/... Base model:mistralai/ministral...   De   En   Es   Fr   Instruct   It   Ja   Ko   Mistral-common   Mistral3   Nl   Pt   Region:us   Safetensors   Sharded   Tensorflow   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512-BF16 

Ministral 3 14B Instruct 2512 BF16 Benchmarks

LLME Score: 0.27183
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ministral 3 14B Instruct 2512 BF16 (mistralai/Ministral-3-14B-Instruct-2512-BF16)
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Ministral 3 14B Instruct 2512 BF16 Parameters and Internals

LLM NameMinistral 3 14B Instruct 2512 BF16
Repository 🤗https://huggingface.co/mistralai/Ministral-3-14B-Instruct-2512-BF16 
Base Model(s)  mistralai/Ministral-3-14B-Base-2512   mistralai/Ministral-3-14B-Base-2512
Model Size14b
Required VRAM28 GB
Updated2026-07-13
Maintainermistralai
Instruction-BasedYes
Model Files  27.9 GB   4.9 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   3.5 GB: 6-of-6
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 14B Instruct 2512 BF16

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Ministral 3 14B Instruct 2512256K / 15.8 GB110841294
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Ministral-3-14B-Instruct-2512-BF16.

Rank the Ministral 3 14B Instruct 2512 BF16 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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