Mistral 7B Instruct V0.2 by Featherless-Chat-Models

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

Mistral 7B Instruct V0.2 Benchmarks

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 V0.2 (Featherless-Chat-Models/Mistral-7B-Instruct-v0.2)
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Mistral 7B Instruct V0.2 Parameters and Internals

LLM NameMistral 7B Instruct V0.2
Repository ๐Ÿค—https://huggingface.co/Featherless-Chat-Models/Mistral-7B-Instruct-v0.2 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-09
MaintainerFeatherless-Chat-Models
Model Typemistral
Instruction-BasedYes
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 ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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

Rank the Mistral 7B Instruct V0.2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124