What are the hardware requirements for Mistral 7B V0.1?

Mistral 7B V0.1 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 V0.1 and how large is it?

Mistral 7B V0.1 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.

How does Mistral 7B V0.1 perform on standard benchmarks?

Mistral 7B V0.1 has the following published scores: MMLU 64.1. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B V0.1 by mistralai — VRAM 14.4GB, 32K context

Name: Mistral 7B V0.1
Author: mistralai

Mistral 7B V0.1 is an open-source language model by mistralai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, HF Score: 61, LLM Explorer Score: 0.33, Arc: 83.6, HellaSwag: 78.9, MMLU: 64.1, TruthfulQA: 42.2, WinoGrande: 78.4, GSM8K: 47.5.

Arxiv:2310.06825 En Mistral Mistral-common Pretrained Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-7B-v0.1

Mistral 7B V0.1 Benchmarks

IFEval: 23.86 vs 88 (so35)^-72.9%

ARC: 83.6 vs 96.7 (so35)^-13.5%

HellaSwag: 78.9 vs 95.3 (gpt4)^-17.2%

MMLU: 64.1 vs 88.3 (so35)^-27.4%

TruthfulQA: 42.15 vs 59 (gpt4)^-28.6%

WinoGrande: 78.37 vs 87.5 (gpt4)^-10.4%

GSM8K: 47.5 vs 96.4 (so35)^-50.7%

OpenCompas: 53.6 vs 73.3 (gpt4)^-26.9%

Exam: 63.7 vs 77.2 (gpt4)^-17.5%

Language: 41.9 vs 62 (gpt4)^-32.4%

Knowledge: 58.1 vs 73.5 (gpt4)^-21%

Understand: 62.3 vs 70 (gpt4)^-11%

Reasoning: 49.8 vs 74.4 (gpt4)^-33.1%

MATH Lvl 5: 2.95

LLME Score: 0.33162

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral 7B V0.1 (mistralai/Mistral-7B-v0.1)

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Mistral 7B V0.1 Parameters and Internals

Model Type

text-generation

Additional Notes

Mistral 7B is a pretrained base model and does not have any moderation mechanisms.

LLM Name	Mistral 7B V0.1
Repository 🤗	https://huggingface.co/mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-05-06
Maintainer	mistralai
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2 9.9 GB: 1-of-2 5.1 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Quantized Models of the Mistral 7B V0.1

Model	Likes	Downloads	VRAM
Mistral 7B V0.1 GGUF	275	11565	3 GB
NousResearch Genstruct 7B GGUF	3	126	14 GB
Zephyr 7B Beta 5.0bpw EXL2	1	1	14 GB
Cosmosage V2	4	10	4 GB
...edia Ru Pruned 0.1 Merged GGUF	0	10	7 GB
...arch Nous Hermes 2 Vision GGUF	24	3017	15 GB
Dragoman	12	17	2 GB
Dragoman 4bit	1	0	4 GB
Mistral 7B V0.1 GGUF	0	764	2 GB
...Hermes 2.5 Mistral 7B Mlx 4bit	1	13	4 GB

Best Alternatives to Mistral 7B V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	254	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	11443	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	21	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	8134	16
Hebrew Mistral 7B 200K	256K / 30 GB	1316	15
Astral 256K 7B V2	250K / 14.4 GB	10	0
Astral 256K 7B	250K / 14.4 GB	5	0

Rank the Mistral 7B V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Mistral 7B V0.1 by mistralai