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Mistral 7B Instruct V0.3 by mistral-community

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.3 Benchmarks

LLME Score: 0.2758
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 V0.3 Parameters and Internals

LLM NameMistral 7B Instruct V0.3
Repository 🤗https://huggingface.co/mistral-community/Mistral-7B-Instruct-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2024-09-07
Maintainermistral-community
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16
Mistral 7B Instruct V0.3 (mistral-community/Mistral-7B-Instruct-v0.3)

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Note: green Score (e.g. "73.2") means that the model is better than mistral-community/Mistral-7B-Instruct-v0.3.

Rank the Mistral 7B Instruct V0.3 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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Release v2024072803
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