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Ministral 8B Instruct 2410 by mistralai

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Model Card on HF 🤗: https://huggingface.co/mistralai/Ministral-8B-Instruct-2410 

Ministral 8B Instruct 2410 Benchmarks

LMSys ELO: 1197 vs 1272 (so35)-5.9%
MMLU Pro: 25.46
GPQA: 4.59
MUSR: 10.72
BBH: 25.82
IFEval: 58.96 vs 88 (so35)-33%
MATH Lvl 5: 19.56
LLME Score: 0.51571
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ministral 8B Instruct 2410 (mistralai/Ministral-8B-Instruct-2410)
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Ministral 8B Instruct 2410 Parameters and Internals

Model Type 
instruct fine-tuned model
Use Cases 
Areas:
local intelligence, on-device computing, at-the-edge use cases
Applications:
research
Primary Use Cases:
non-commercial research purposes
Limitations:
Only for non-commercial research purposes
Additional Notes 
Trained with a 128k context window utilizing interleaved sliding-window attention.
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), zh (Chinese), ja (Japanese), ru (Russian), ko (Korean)
Training Details 
Context Length:
128000
Model Architecture:
Dense Transformer
Input Output 
Input Format:
V3-Tekken tokenizer format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use Mistral Inference or vLLM for optimized performance.
Release Notes 
Version:
8B-Instruct-2410
Date:
2023-10
Notes:
Release of Ministral-8B-Instruct-2410 under Mistral Research License
LLM NameMinistral 8B Instruct 2410
Repository 🤗https://huggingface.co/mistralai/Ministral-8B-Instruct-2410 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-16
Maintainermistralai
Instruction-BasedYes
Model Files  16.0 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen fr de es it pt zh ja ru ko
Gated ModelYes
Model ArchitectureMambaSSM
LicenseMNPL-0.1

Quantized Models of the Ministral 8B Instruct 2410

Model
Likes
Downloads
VRAM
...inistral 8B Instruct 2410 GGUF21593 GB

Best Alternatives to Ministral 8B Instruct 2410

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Rank the Ministral 8B Instruct 2410 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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Release v20241124
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