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Mistral 7B V0.3 by MaziyarPanahi

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Mistral 7B V0.3 is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, HF Score: 60.4, LLM Explorer Score: 0.17, Arc: 60.7, HellaSwag: 83, MMLU: 63.7, TruthfulQA: 41.8, WinoGrande: 78.3, GSM8K: 35.

  Deploy:azure   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mistral-7B-v0.3 

Mistral 7B V0.3 Benchmarks

ARC: 60.67 vs 96.7 (so35)-37.3%
HellaSwag: 83.01 vs 95.3 (gpt4)-12.9%
MMLU: 63.7 vs 88.3 (so35)-27.9%
TruthfulQA: 41.79 vs 59 (gpt4)-29.2%
WinoGrande: 78.3 vs 87.5 (gpt4)-10.5%
GSM8K: 34.95 vs 96.4 (so35)-63.7%
LLME Score: 0.1714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗https://huggingface.co/MaziyarPanahi/Mistral-7B-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2026-02-15
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

🆘 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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