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Mistral 7B Instruct V0.3 by MaziyarPanahi

 »  All LLMs  »  MaziyarPanahi  »  Mistral 7B Instruct V0.3   URL Share it on

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

Mistral 7B Instruct V0.3 Benchmarks

ARC: 63.91 vs 96.7 (so35)-33.9%
HellaSwag: 84.82 vs 95.3 (gpt4)-11%
MMLU: 62.58 vs 88.3 (so35)-29.1%
TruthfulQA: 59.45 vs 59 (gpt4)0.8%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 42.15 vs 96.4 (so35)-56.3%
LLME Score: 0.25017
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 (MaziyarPanahi/Mistral-7B-Instruct-v0.3)

Mistral 7B Instruct V0.3 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model is a fine-tuned version of Mistral-7B-v0.3, with extended vocabulary and support for v3 tokenizer and function calling.
LLM NameMistral 7B Instruct V0.3
Repository 🤗https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.3 
Model Size7b
Required VRAM14.5 GB
Updated2025-02-05
MaintainerMaziyarPanahi
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

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/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 v20241227
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