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Mistral Large Instruct 2407 by mistralai

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Mistral Large Instruct 2407 is an open-source language model by mistralai. Features: 122.6b LLM, VRAM: 226.7GB, Context: 128K, License: proprietary, Instruction-Based, LLM Explorer Score: 0.37, ELO: 1241.

  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-Large-Instruct-2407 

Mistral Large Instruct 2407 Benchmarks

LMSys ELO: 1241 vs 1272 (so35)-2.4%
LLME Score: 0.36608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Large Instruct 2407 (mistralai/Mistral-Large-Instruct-2407)
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Mistral Large Instruct 2407 Parameters and Internals

Model Type 
Large Language Model (LLM)
Additional Notes 
The model does not have any moderation mechanisms currently in place. Involvement with the community is encouraged to facilitate the deployment in environments needing moderated outputs.
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
Input Output 
Input Format:
text prompt
Accepted Modalities:
text
Output Format:
text output
LLM NameMistral Large Instruct 2407
Repository 🤗https://huggingface.co/mistralai/Mistral-Large-Instruct-2407 
Model Size122.6b
Required VRAM226.7 GB
Updated2026-04-05
Maintainermistralai
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-51   4.8 GB: 2-of-51   4.8 GB: 3-of-51   4.9 GB: 4-of-51   4.8 GB: 5-of-51   4.8 GB: 6-of-51   4.8 GB: 7-of-51   4.9 GB: 8-of-51   4.8 GB: 9-of-51   4.8 GB: 10-of-51   4.8 GB: 11-of-51   4.9 GB: 12-of-51   4.8 GB: 13-of-51   4.8 GB: 14-of-51   4.8 GB: 15-of-51   4.9 GB: 16-of-51   4.8 GB: 17-of-51   4.8 GB: 18-of-51   4.8 GB: 19-of-51   4.9 GB: 20-of-51   4.8 GB: 21-of-51   4.8 GB: 22-of-51   4.8 GB: 23-of-51   4.9 GB: 24-of-51   4.8 GB: 25-of-51   4.8 GB: 26-of-51   4.8 GB: 27-of-51   4.9 GB: 28-of-51   4.8 GB: 29-of-51   4.8 GB: 30-of-51   4.8 GB: 31-of-51   4.9 GB: 32-of-51   4.8 GB: 33-of-51   4.8 GB: 34-of-51   4.8 GB: 35-of-51   4.9 GB: 36-of-51   4.8 GB: 37-of-51   4.8 GB: 38-of-51   4.8 GB: 39-of-51   4.9 GB: 40-of-51   4.8 GB: 41-of-51   4.8 GB: 42-of-51   4.8 GB: 43-of-51   4.9 GB: 44-of-51   4.8 GB: 45-of-51   4.8 GB: 46-of-51   4.8 GB: 47-of-51
Supported Languagesen fr de es it pt zh ja ru ko
Gated ModelYes
Model ArchitectureMistralForCausalLM
Licenseproprietary
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Vocabulary Size32768
Torch Data Typebfloat16

Quantized Models of the Mistral Large Instruct 2407

Model
Likes
Downloads
VRAM
Soar Mistral 123B11217 GB

Best Alternatives to Mistral Large Instruct 2407

Best Alternatives
Context / RAM
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Likes
Krutrim 2 Instruct1000K / 49.3 GB14736
Mistral Instruct SCQA32K / 5 GB60
Dolphin 2.9.2 Phi 3 Medium4K / 28 GB929224
Dolphin 2.9.2 Phi 3 Medium4K / 28 GB749025
Lora Phi3 Mini4K / 5 GB70
...eZephir Sft Instruct Ead 16bit32K / 14.4 GB560
... Instruct Unsloth Merged 16bit4K / 7.6 GB51
... Mini 4K Instruct Bnb 4bit Ita4K / 7.6 GB11810
... Mini 4K Instruct Bnb 4bit Ita4K / 7.6 GB12110
...ini New Model With Lora Merged4K / 7.6 GB50

Rank the Mistral Large Instruct 2407 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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