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Mistral Nemo Instruct 2407 by mistralai

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Ja   Mistral   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   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: 0.4498
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)

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
Updated2025-03-11
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
Gated ModelYes
Model ArchitectureAutoModelForCausalLM
Licenseproprietary
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072

Quantized Models of the Mistral Nemo Instruct 2407

Model
Likes
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VRAM
Geneva 12B GCv2 5M1213924 GB
NemoR02424 GB
...omix Unleashed 12B V0.6.1 8bit22612 GB
...istral Nemo Instruct 2407 GGUF6667344 GB
DeepOpus 1 12B Preview01824 GB
DeepNeo 1 12B Preview01524 GB
...Horizon AI Korean Advanced 12B0265724 GB
...orean Mistral Nemo Sft DPO 12B5334024 GB
Ava 1.0 12B43424 GB

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Rank the Mistral Nemo Instruct 2407 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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