What are the hardware requirements for Mistral 7B Instruct V0.1 Int8 Ov?

Mistral 7B Instruct V0.1 Int8 Ov requires 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 V0.1 Int8 Ov and how large is it?

Mistral 7B Instruct V0.1 Int8 Ov is developed by OpenVINO, 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 Instruct V0.1 Int8 Ov?

Mistral 7B Instruct V0.1 Int8 Ov is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Instruct V0.1 Int8 Ov by OpenVINO — 32K context

Name: Mistral 7B Instruct V0.1 Int8 Ov
Author: OpenVINO

Mistral 7B Instruct V0.1 Int8 Ov is an open-source language model by OpenVINO. Features: 7b LLM, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.12.

Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational En Endpoints compatible Instruct Mistral Openvino Region:us

Model Card on HF 🤗: https://huggingface.co/OpenVINO/mistral-7b-instruct-v0.1-int8-ov

Mistral 7B Instruct V0.1 Int8 Ov Parameters and Internals

Model Type

openvino, int8, causal_lm

Additional Notes

Model has been converted to OpenVINO IR format with INT8 weight compression using NNCF.

Supported Languages

en (primary)

LLM Name	Mistral 7B Instruct V0.1 Int8 Ov
Repository 🤗	https://huggingface.co/OpenVINO/mistral-7b-instruct-v0.1-int8-ov
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.1 mistralai/Mistral-7B-Instruct-v0.1
Model Size	7b
Required VRAM	0 GB
Updated	2026-08-08
Maintainer	OpenVINO
Model Type	mistral
Instruction-Based	Yes
Model Files	0.0 GB 7.3 GB 0.0 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000

Rank the Mistral 7B Instruct V0.1 Int8 Ov 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 Instruct V0.1 Int8 Ov

Model	Likes	Downloads	VRAM
...tral 7B Instruct V0.1 4bit Mlx	1	32	4 GB

Best Alternatives to Mistral 7B Instruct V0.1 Int8 Ov

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	10	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
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Lexi Coder V5.1	32K / 14.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than OpenVINO/mistral-7b-instruct-v0.1-int8-ov.