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

Mistral 7B Instruct V0.3 requires approximately 14.5 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 and how large is it?

Mistral 7B Instruct V0.3 is developed by mistralai, 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?

Mistral 7B Instruct V0.3 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 by mistralai — VRAM 14.5GB, 32K context

Name: Mistral 7B Instruct V0.3
Rating: 2 (3 reviews)
Author: mistralai

Mistral 7B Instruct V0.3 is an open-source language model by mistralai. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.35.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Deploy:sagemaker Instruct Mistral Mistral-common Region:us Safetensors Sharded Tensorflow Vllm

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

Mistral 7B Instruct V0.3 Parameters and Internals

Model Type

Large Language Model

Use Cases

Limitations:

It does not have any moderation mechanisms.

Additional Notes

The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. We're looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.

LLM Name	Mistral 7B Instruct V0.3
Repository 🤗	https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3
Base Model(s)	mistralai/Mistral-7B-v0.3 mistralai/Mistral-7B-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-24
Maintainer	mistralai
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB 5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MambaSSM
License	MNPL-0.1
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct V0.3 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

Quantized Models of the Mistral 7B Instruct V0.3

Model	Likes	Downloads	VRAM
...tral 7B Instruct V0.3 Bnb 4bit	42	34633	4 GB
Mistral 7B Instruct V0.3 GGUF	147	91691	1 GB
Mistral 7B Instruct V0.3 GPTQ	1	113881	4 GB
Mistral 7B Instruct V0.3 GGUF	10	11153	2 GB
Mistral 7B Instruct V0.3 AWQ	10	5633	4 GB
...ral 7B Instruct V0.3 GPTQ 4bit	18	2946	4 GB
...ral 7B Instruct V0.3 GPTQ 4bit	25	2658	4 GB
Pixel	0	17	4 GB
Mistral 7B Instruct V0.3 GGUF	1	189	2 GB
Mistral 7B Instruct V0.3 GGUF	1	156	2 GB

Best Alternatives to Mistral 7B Instruct V0.3

Best Alternatives	Context / RAM	Downloads	Likes
Mosslight 7B	0K / 14.5 GB	116	1
Mistral 7B Instruct V0.3	0K / 14.5 GB	6	0