What are the hardware requirements for Mistral Nemo Instruct 2407 GGUF?

Mistral Nemo Instruct 2407 GGUF requires approximately 4.8 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo Instruct 2407 GGUF and how large is it?

Mistral Nemo Instruct 2407 GGUF is developed by unsloth. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mistral Nemo Instruct 2407 GGUF?

Mistral Nemo Instruct 2407 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo Instruct 2407 GGUF by unsloth — VRAM 4.8GB, 1000K context

Name: Mistral Nemo Instruct 2407 GGUF
Author: unsloth

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: 0.14.

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

Model Card on HF 🤗: https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-GGUF

Mistral Nemo Instruct 2407 GGUF Parameters and Internals

LLM Name	Mistral Nemo Instruct 2407 GGUF
Repository 🤗	https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-GGUF
Required VRAM	4.8 GB
Updated	2026-07-27
Maintainer	unsloth
Model Type	mistral
Instruction-Based	Yes
Model Files	4.8 GB 6.1 GB 7.5 GB 8.7 GB 10.1 GB 13.0 GB 24.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.43.0.dev0
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo Instruct 2407 GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Mistral Nemo Instruct 2407 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 GGUF	1000K / 4.8 GB	1139	66
...istral C64Wizard Instruct GGUF	32K / 4.4 GB	19	0
Equall Saul Instruct V1	32K / 5.1 GB	30	0
R Model	4K / 7.6 GB	228	1
...eZephir Sft Instruct Ead 16bit	32K / 14.4 GB	56	0
... Instruct Unsloth Merged 16bit	4K / 7.6 GB	6	1
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1181	0
... Mini 4K Instruct Bnb 4bit Ita	4K / 7.6 GB	1527	0
...ini New Model With Lora Merged	4K / 7.6 GB	16	0
Phired	4K / 7.6 GB	12	0

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