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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: 0.2279
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

Model Type 
large language model, instruct fine-tuned
Use Cases 
Primary Use Cases:
instruct fine-tuning
Limitations:
does not have any moderation mechanisms
Considerations:
Looking forward to community engagement for moderation strategies.
Additional Notes 
Checkpoint provided as-is and might not be updated with the latest changes. Extended vocabulary to 32768 and supports v3 tokenizer with function calling.
LLM NameMistral 7B Instruct V0.3
Repository 🤗https://huggingface.co/mistral-community/Mistral-7B-Instruct-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2024-11-21
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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241110
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