Mistral Nemo Instruct 2407 GGUF by second-state

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Mistral Nemo Instruct 2407 GGUF is an open-source language model by second-state. Features: LLM, VRAM: 4.8GB, Context: 1000K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

Base model:mistralai/mistral-n... Base model:quantized:mistralai...   Conversational   De   En   Es   Fr   Gguf   Instruct   It   Ja   Mistral   Pt   Q2   Quantized   Region:us   Ru   Zh

Mistral Nemo Instruct 2407 GGUF Benchmarks

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 GGUF Parameters and Internals

LLM NameMistral Nemo Instruct 2407 GGUF
Repository 🤗https://huggingface.co/second-state/Mistral-Nemo-Instruct-2407-GGUF 
Model NameMistral-Nemo-Instruct-2407
Model Creatormistralai
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Required VRAM4.8 GB
Updated2026-04-14
Maintainersecond-state
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB   6.6 GB   6.1 GB   5.5 GB   7.1 GB   7.5 GB   7.1 GB   8.5 GB   8.7 GB   8.5 GB   10.1 GB   13.0 GB   24.5 GB
Supported Languagesen fr de es it pt ru zh ja
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than second-state/Mistral-Nemo-Instruct-2407-GGUF.

Rank the Mistral Nemo Instruct 2407 GGUF 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 v20260328a