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Mistral 7B Fine Tunned Model by Shorya22

 »  All LLMs  »  Shorya22  »  Mistral 7B Fine Tunned Model   URL Share it on

  6   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Shorya22/Mistral-7B-Fine_Tunned_Model 

Mistral 7B Fine Tunned Model Benchmarks

LLME Score: 0.18665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Fine Tunned Model (Shorya22/Mistral-7B-Fine_Tunned_Model)

Mistral 7B Fine Tunned Model Parameters and Internals

LLM NameMistral 7B Fine Tunned Model
Repository 🤗https://huggingface.co/Shorya22/Mistral-7B-Fine_Tunned_Model 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerShorya22
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32032
Torch Data Typebfloat16

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MegaBeam Mistral 7B 300K282K / 14.4 GB563316
Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Shorya22/Mistral-7B-Fine_Tunned_Model.

Rank the Mistral 7B Fine Tunned Model Capabilities

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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 v20241227
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