What are the hardware requirements for Mistral 7B Instruct V0.3 GGUF?

Mistral 7B Instruct V0.3 GGUF requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Instruct V0.3 GGUF and how large is it?

Mistral 7B Instruct V0.3 GGUF is developed by MaziyarPanahi, a model with 7b parameters. 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 7B Instruct V0.3 GGUF?

Mistral 7B Instruct V0.3 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Instruct V0.3 GGUF by MaziyarPanahi — VRAM 1.6GB

Name: Mistral 7B Instruct V0.3 GGUF
Author: MaziyarPanahi

Mistral 7B Instruct V0.3 GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 1.6GB, Quantized, Instruction-Based, LLM Explorer Score: 0.2.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Endpoints compatible Gguf Instruct Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF

Mistral 7B Instruct V0.3 GGUF Parameters and Internals

Model Type

text-generation, conversational

LLM Name	Mistral 7B Instruct V0.3 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF
Model Name	Mistral-7B-Instruct-v0.3-GGUF
Model Creator	mistralai
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	1.6 GB
Updated	2026-08-02
Maintainer	MaziyarPanahi
Model Type	mistral
Instruction-Based	Yes
Model Files	1.8 GB 1.6 GB 2.2 GB 3.0 GB 3.9 GB 2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.4 GB 4.1 GB 5.1 GB 5.0 GB 6.0 GB 7.7 GB 14.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel

Rank the Mistral 7B Instruct V0.3 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 7B Instruct V0.3 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511
Qwen2 7B Instruct V0.6 GGUF	0K / 4.5 GB	13522	0
Qwen2 7B Instruct V0.1 GGUF	0K / 4.5 GB	9714	0
Qwen2 7B Instruct V0.7 GGUF	0K / 4.5 GB	9530	0
Qwen2 7B Instruct V0.3 GGUF	0K / 4.5 GB	8911	1
Qwen2 7B Instruct V0.2 GGUF	0K / 4.5 GB	7986	0

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF.