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Mistral 7B Instruct V0.1 Int8 Ov by OpenVINO

 »  All LLMs  »  OpenVINO  »  Mistral 7B Instruct V0.1 Int8 Ov   URL Share it on

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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: 0.13.

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 Benchmarks

LLME Score: 0.13341
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.1 Int8 Ov (OpenVINO/mistral-7b-instruct-v0.1-int8-ov)
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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 NameMistral 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 Size7b
Required VRAM0 GB
Updated2026-04-11
MaintainerOpenVINO
Model Typemistral
Instruction-BasedYes
Model Files  0.0 GB   7.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000

Quantized Models of the Mistral 7B Instruct V0.1 Int8 Ov

Model
Likes
Downloads
VRAM
...tral 7B Instruct V0.1 4bit Mlx1264 GB

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

Best Alternatives
Context / RAM
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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB3727181828
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than OpenVINO/mistral-7b-instruct-v0.1-int8-ov.

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

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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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