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Mistral 7B V0.3 by mistralai

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Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-7B-v0.3 

Mistral 7B V0.3 Benchmarks

MMLU Pro: 21.7
GPQA: 5.59
MUSR: 8.36
BBH: 24.04
IFEval: 22.66 vs 88 (so35)-74.3%
ARC: 60.49 vs 96.7 (so35)-37.4%
HellaSwag: 82.99 vs 95.3 (gpt4)-12.9%
MMLU: 63.46 vs 88.3 (so35)-28.1%
TruthfulQA: 41.79 vs 59 (gpt4)-29.2%
WinoGrande: 78.45 vs 87.5 (gpt4)-10.3%
GSM8K: 34.5 vs 96.4 (so35)-64.2%
MATH Lvl 5: 3.02
LLME Score: 0.32549
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 (mistralai/Mistral-7B-v0.3)
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Mistral 7B V0.3 Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
The Mistral 7B Instruct model is a quick demonstration that the base model can be easily fine-tuned to achieve compelling performance. It does not have any moderation mechanisms.
Considerations:
We're 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 Mistral-7B-v0.3 has extended vocabulary to 32768 tokens.
LLM NameMistral 7B V0.3
Repository 🤗https://huggingface.co/mistralai/Mistral-7B-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-09-18
Maintainermistralai
Model Typemistral
Model Files  14.5 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Gated ModelYes
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

Quantized Models of the Mistral 7B V0.3

Model
Likes
Downloads
VRAM
Mistral 7B V0.3 Bnb 4bit184101624 GB
Mistral 7B V0.3 AWQ094 GB

Best Alternatives to Mistral 7B V0.3

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.332K / 14.5 GB7869582096
Mosslight 7B0K / 14.5 GB1161
Mistral 7B Instruct V0.30K / 14.5 GB60
Mathstral 7B V0.10K / 29 GB6916236
Llama 2 7B0K /  GB6984399
Llama 2 7B Chat0K /  GB160612
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-7B-v0.3.

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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