Mistral 7B V0.3 by MaziyarPanahi

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B V0.3 Benchmarks

Mistral 7B V0.3 (MaziyarPanahi/Mistral-7B-v0.3)
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Mistral 7B V0.3 Parameters and Internals

Model Type 
large language model
Use Cases 
Primary Use Cases:
text generation
Limitations:
Does not have any moderation mechanisms.
Considerations:
Looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.
Additional Notes 
The model extends the vocabulary to 32768 words compared to its predecessor, Mistral-7B-v0.2.
Responsible Ai Considerations 
Mitigation Strategies:
The model does not have any moderation mechanisms.
LLM NameMistral 7B V0.3
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Mistral-7B-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-07-25
MaintainerMaziyarPanahi
Model Typemistral
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

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