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  license: mit
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  language:
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  - en
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- widget:
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- - text: '''<|input|>
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- ### Template:
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- {
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- "Model": {
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- "Name": "",
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- "Number of parameters": "",
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- "Number of max token": "",
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- "Architecture": []
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- },
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- "Usage": {
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- "Use case": [],
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- "Licence": ""
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- }
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- }
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- ### Text:
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- We introduce Mistral 7B, a 7–billion-parameter language model engineered for
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- superior performance and efficiency. Mistral 7B outperforms the best open 13B
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- model (Llama 2) across all evaluated benchmarks, and the best released 34B
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- model (Llama 1) in reasoning, mathematics, and code generation. Our model
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- leverages grouped-query attention (GQA) for faster inference, coupled with sliding
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- window attention (SWA) to effectively handle sequences of arbitrary length with a
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- reduced inference cost. We also provide a model fine-tuned to follow instructions,
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- Mistral 7B – Instruct, that surpasses Llama 2 13B – chat model both on human and
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- automated benchmarks. Our models are released under the Apache 2.0 license.
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- Code https://github.com/mistralai/mistral-src
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- Webpage https://mistral.ai/news/announcing-mistral-7b/
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- <|output|>
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- '''
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  ---
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  # Structure Extraction Model by NuMind 🔥
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  license: mit
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  language:
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  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Structure Extraction Model by NuMind 🔥
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