Mistral Nemo Instruct 2407 GGUF by unsloth

 ยป  All LLMs  ยป  unsloth  ยป  Mistral Nemo Instruct 2407 GGUF   URL Share it on

Mistral Nemo Instruct 2407 GGUF is an open-source language model by unsloth. Features: LLM, VRAM: 4.8GB, Context: 1000K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Unsloth

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 (unsloth/Mistral-Nemo-Instruct-2407-GGUF)
๐ŸŒŸ Advertise your project ๐Ÿš€

Mistral Nemo Instruct 2407 GGUF Parameters and Internals

LLM NameMistral Nemo Instruct 2407 GGUF
Repository ๐Ÿค—https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-GGUF 
Required VRAM4.8 GB
Updated2026-03-06
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB   6.1 GB   7.5 GB   8.7 GB   10.1 GB   13.0 GB   24.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
Vocabulary Size131072
Torch Data Typebfloat16

Best Alternatives to Mistral Nemo Instruct 2407 GGUF

Best Alternatives
Context / RAM
Downloads
Likes
...istral Nemo Instruct 2407 GGUF1000K / 4.8 GB140765
...istral C64Wizard Instruct GGUF32K / 4.4 GB90
Equall Saul Instruct V132K / 5.1 GB120
R Model4K / 7.6 GB321
...4K Emotional Support 4bit Vllm4K / 2.3 GB120
...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
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Mistral-Nemo-Instruct-2407-GGUF.

Rank the Mistral Nemo Instruct 2407 GGUF Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52721 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a