What are the hardware requirements for Mistral 7B Instruct V0.2 Llamafile?

Mistral 7B Instruct V0.2 Llamafile requires approximately 14.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Instruct V0.2 Llamafile and how large is it?

Mistral 7B Instruct V0.2 Llamafile is developed by Mozilla, 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 Instruct V0.2 Llamafile perform on standard benchmarks?

Mistral 7B Instruct V0.2 Llamafile has the following published scores: MMLU 60.78, LMSYS ELO 1087. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Instruct V0.2 Llamafile by Mozilla — VRAM 14.5GB

Name: Mistral 7B Instruct V0.2 Llamafile
Author: Mozilla

Mistral 7B Instruct V0.2 Llamafile is an open-source language model by Mozilla. Features: 7b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26, ELO: 1087, Arc: 63.1, HellaSwag: 84.9, MMLU: 60.8, GSM8K: 40.

Arxiv:2310.06825 Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Finetuned Gguf Instruct Llamafile Mistral Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/mozilla-ai/Mistral-7B-Instruct-v0.2-llamafile

Mistral 7B Instruct V0.2 Llamafile Benchmarks

LMSys ELO 1087 vs 1272 (so35) -14.5%

^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 Instruct V0.2 Llamafile Parameters and Internals

LLM Name	Mistral 7B Instruct V0.2 Llamafile
Repository 🤗	https://huggingface.co/mozilla-ai/Mistral-7B-Instruct-v0.2-llamafile
Model Name	Mistral 7B Instruct v0.2
Model Creator	Mistral AI_
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-20
Maintainer	Mozilla
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Mistral 7B Instruct V0.2 Llamafile 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

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