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Mistral 7B Instruct V0.2 by unsloth

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Model Card on HF 🤗: https://huggingface.co/unsloth/mistral-7b-instruct-v0.2 

Mistral 7B Instruct V0.2 Benchmarks

LLME Score: 0.23299
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 V0.2 (unsloth/mistral-7b-instruct-v0.2)

Mistral 7B Instruct V0.2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Unsloth allows fine-tuning Mistral models 2-5 times faster with significant memory reduction.
Input Output 
Performance Tips:
Run on Google Colab with Tesla T4 for optimal performance.
LLM NameMistral 7B Instruct V0.2
Repository 🤗https://huggingface.co/unsloth/mistral-7b-instruct-v0.2 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/mistral-7b-instruct-v0.2.

Rank the Mistral 7B Instruct V0.2 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 v20241227
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