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Mistral Nemo Instruct 2407 by mistralai

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Mistral Nemo Instruct 2407 is an open-source language model by mistralai. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.35.

Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   De   En   Es   Fr   Instruct   It   Ja   Mistral   Mistral-common   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407 

Mistral Nemo Instruct 2407 Benchmarks

MMLU Pro: 27.97
GPQA: 5.37
MUSR: 8.48
BBH: 29.68
IFEval: 63.8 vs 88 (so35)-27.5%
MATH Lvl 5: 12.69
LLME Score: 0.3455
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Instruct 2407 (mistralai/Mistral-Nemo-Instruct-2407)
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Mistral Nemo Instruct 2407 Parameters and Internals

Model Type 
instruct fine-tuned
Use Cases 
Areas:
research, multilingual tasks, code tasks
Limitations:
No moderation mechanisms
Considerations:
Model should finely respect guardrails for environments requiring moderated outputs.
Additional Notes 
Trained jointly by Mistral AI and NVIDIA. Drop-in replacement of Mistral 7B.
Supported Languages 
en (English), fr (French), de (German), es (Spanish), it (Italian), pt (Portuguese), ru (Russian), zh (Chinese), ja (Japanese)
Training Details 
Methodology:
Trained on a large proportion of multilingual and code data
Context Length:
128000
Model Architecture:
Transformer model with 40 layers, Dim: 5,120, Head dim: 128, Hidden dim: 14,336, Activation Function: SwiGLU, Number of heads: 32, Number of kv-heads: 8 (GQA), Vocabulary size: 128k (2^17), Rotary embeddings (theta = 1M)
LLM NameMistral Nemo Instruct 2407
Repository 🤗https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Model Size12.2b
Required VRAM24.5 GB
Updated2026-04-21
Maintainermistralai
Instruction-BasedYes
Model Files  24.5 GB   4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Context Length131072
Model Max Length131072
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072

Quantized Models of the Mistral Nemo Instruct 2407

Model
Likes
Downloads
VRAM
Geneva 12B GCv2 5M13424 GB
NemoR02424 GB
...omix Unleashed 12B V0.6.1 8bit2412 GB
DeepOpus 1 12B Preview01824 GB
DeepNeo 1 12B Preview01524 GB
Ava 1.0 12B43424 GB
...istral Nemo Instruct 2407 GGUF6615864 GB
...Horizon AI Korean Advanced 12B114624 GB
...orean Mistral Nemo Sft DPO 12B828624 GB

Best Alternatives to Mistral Nemo Instruct 2407

Best Alternatives
Context / RAM
Downloads
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Mistral Small Instruct 24090K / 44.7 GB12660394

Rank the Mistral Nemo 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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