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

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

Mistral 7B Instruct V0.2 is developed by Featherless-Chat-Models, 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 perform on standard benchmarks?

Mistral 7B Instruct V0.2 has the following published scores: LMSYS ELO 1149. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B Instruct V0.2 by Featherless-Chat-Models — VRAM 14.4GB, 32K context

Name: Mistral 7B Instruct V0.2
Author: Featherless-Chat-Models

Mistral 7B Instruct V0.2 is an open-source language model by Featherless-Chat-Models. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.31, ELO: 1149.

Arxiv:2310.06825 Conversational Finetuned Instruct Mistral Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Featherless-Chat-Models/Mistral-7B-Instruct-v0.2

Mistral 7B Instruct V0.2 Benchmarks

LMSys ELO 1149 vs 1272 (so35) -9.7%

^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 Parameters and Internals

LLM Name	Mistral 7B Instruct V0.2
Repository 🤗	https://huggingface.co/Featherless-Chat-Models/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-28
Maintainer	Featherless-Chat-Models
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 4.9 GB: 1-of-3 5.0 GB: 2-of-3 5.1 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B Instruct 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 Instruct V0.2

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
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
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	13	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Copywriting Llm	32K / 4.1 GB	122	1
Mixtral AI CyberCoder	32K / 14.3 GB	0	0

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