What are the hardware requirements for Mistral 7B?

Mistral 7B requires approximately 14.4 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 and how large is it?

Mistral 7B is developed by unsloth, 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?

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

Mistral 7B by unsloth — VRAM 14.4GB, 32K context

Name: Mistral 7B
Author: unsloth

Mistral 7B is an open-source language model by unsloth. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13.

Bnb En Endpoints compatible Mistral Mistral7b Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/mistral-7b

Mistral 7B Parameters and Internals

Model Type

transformers

Use Cases

Areas:

Research, Commercial Applications

Applications:

Text Completion, Conversational Agents

Additional Notes

The model can be finetuned through free and beginner-friendly notebooks on platforms like Colab or Kaggle.

Training Details

Methodology:

Finetuning via Unsloth

LLM Name	Mistral 7B
Repository 🤗	https://huggingface.co/unsloth/mistral-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-28
Maintainer	unsloth
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B 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

Model	Likes	Downloads	VRAM
Mistral PPP GGUF	0	11	4 GB
Legal Summarizer	0	52	14 GB

Best Alternatives to Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b.