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

Mistral 7B Instruct V0.3 GGUF requires approximately 2.7 GB of VRAM and supports a context window of 32K tokens. 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 gaianet, 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 gaianet — VRAM 2.7GB, 32K context

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

Mistral 7B Instruct V0.3 GGUF is an open-source language model by gaianet. Features: 7b LLM, VRAM: 2.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Gguf Instruct Mistral Q2 Quantized Region:us

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

Mistral 7B Instruct V0.3 GGUF Parameters and Internals

Additional Notes

Quantized by Second State Inc.

Input Output

Input Format:

mistral-instruct

LLM Name	Mistral 7B Instruct V0.3 GGUF
Repository 🤗	https://huggingface.co/gaianet/Mistral-7B-Instruct-v0.3-GGUF
Model Name	Mistral-7B-Instruct-v0.3
Model Creator	mistralai
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-07-27
Maintainer	gaianet
Model Type	mistral
Instruction-Based	Yes
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 6.0 GB 7.7 GB 14.5 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.0.dev0
Vocabulary Size	32768
Torch Data Type	bfloat16

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
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	200	0
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14
Mistral V0.3 7B Cybersecurity	32K / 14.5 GB	52	1
BioMistralMerged	32K / 14.4 GB	54	2
...andle Mistral 7B Instruct V0.1	32K / 14.4 GB	1207	3
Mistral 7B Instruct V0.3 GGUF	32K / 2.7 GB	189	1
...stral 7B V0.3 Chinese Chat F16	32K / 14.5 GB	51	1
...tral 7B V0.3 Chinese Chat 4bit	32K / 4.1 GB	45	2

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