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

Mistral 7B V0.2 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 V0.2 and how large is it?

Mistral 7B V0.2 is developed by RESMPDEV, 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 V0.2?

Mistral 7B V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B V0.2 by RESMPDEV — VRAM 14.5GB, 32K context

Name: Mistral 7B V0.2
Author: RESMPDEV

Mistral 7B V0.2 is an open-source language model by RESMPDEV. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Mistral Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RESMPDEV/Mistral-7B-v0.2

Mistral 7B V0.2 Parameters and Internals

Model Type

text generation

Additional Notes

This version is considered pre-alpha as it is a mix of Mistral 7b v0.1 and Mistral 7b v0.2 files. The conversion process was suboptimal, using a monolithic pickle file converted to safetensors and building the index. It is recommended to use the version at the given Hugging Face repository until an official release by Mistral AI.

LLM Name	Mistral 7B V0.2
Repository 🤗	https://huggingface.co/RESMPDEV/Mistral-7B-v0.2
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-02
Maintainer	RESMPDEV
Model Type	mistral
Model Files	14.5 GB 14.5 GB
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B V0.2 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 V0.2

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B V0.3	32K / 14.5 GB	1366	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	91	6
...unoichi Lemon Royale V3 32K 7B	32K / 14.5 GB	11	5
Mistral 7B Instruct V0.3	32K / 14.5 GB	1122	3
Mistralai Mistral 7B V0.3	32K / 14.5 GB	6	3
...ralai Mistral 7B Instruct V0.3	32K / 14.5 GB	6	3
Mistral 7B Instruct V0.3	32K / 14.5 GB	6	0
Full V4 Astromistral Final	32K / 4.5 GB	6	1
LlamaGuard 7B	4K / 13.5 GB	4681	245
Merak 7B Squadpairs Indo	4K / 7 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/Mistral-7B-v0.2.