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Mistral Small Instruct 2409 by mistralai

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Mistral Small Instruct 2409 is an open-source language model by mistralai. Features: 22.2b LLM, VRAM: 44.7GB, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.31.

  De   En   Es   Fr   Instruct   It   Ja   Ko   Mistral   Mistral-common   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-Small-Instruct-2409 

Mistral Small Instruct 2409 Benchmarks

MMLU Pro: 34.43
GPQA: 11.07
MUSR: 10.23
BBH: 40.56
IFEval: 62.83 vs 88 (so35)-28.6%
MATH Lvl 5: 20.39
LLME Score: 0.30542
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small Instruct 2409 (mistralai/Mistral-Small-Instruct-2409)
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Mistral Small Instruct 2409 Parameters and Internals

Model Type 
instruct fine-tuned
Supported Languages 
en (/), fr (/), de (/), es (/), it (/), pt (/), zh (/), ja (/), ru (/), ko (/)
Training Details 
Context Length:
128000
LLM NameMistral Small Instruct 2409
Repository 🤗https://huggingface.co/mistralai/Mistral-Small-Instruct-2409 
Model Size22.2b
Required VRAM44.7 GB
Updated2026-04-04
Maintainermistralai
Instruction-BasedYes
Model Files  44.5 GB   4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Supported Languagesen fr de es it pt zh ja ru ko
Model ArchitectureMambaSSM
LicenseMNPL-0.1

Quantized Models of the Mistral Small Instruct 2409

Model
Likes
Downloads
VRAM
...stral Small Instruct 2409 GGUF41073324 GB
...l Small Instruct 2409 Bnb 4bit4349512 GB

Best Alternatives to Mistral Small Instruct 2409

Best Alternatives
Context / RAM
Downloads
Likes
Mistral Nemo Instruct 2407128K / 24.5 GB2503071666
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-Small-Instruct-2409.

Rank the Mistral Small Instruct 2409 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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