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Mistral 7B V0.1 Activity Fine Tuned V5 by hamxea

 »  All LLMs  »  hamxea  »  Mistral 7B V0.1 Activity Fine Tuned V5   URL Share it on

  5   
  Arxiv:1910.09700   Autotrain compatible   En   Endpoints compatible   Medical   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/hamxea/Mistral-7B-v0.1-activity-fine-tuned-v5 

Mistral 7B V0.1 Activity Fine Tuned V5 Benchmarks

ARC: 60.07 vs 96.7 (so35)-37.9%
HellaSwag: 83.3 vs 95.3 (gpt4)-12.6%
MMLU: 64.09 vs 88.3 (so35)-27.4%
TruthfulQA: 42.15 vs 59 (gpt4)-28.6%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 37.91 vs 96.4 (so35)-60.7%
LLME Score: 0.15151
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B V0.1 Activity Fine Tuned V5 (hamxea/Mistral-7B-v0.1-activity-fine-tuned-v5)
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Mistral 7B V0.1 Activity Fine Tuned V5 Parameters and Internals

LLM NameMistral 7B V0.1 Activity Fine Tuned V5
Repository 🤗https://huggingface.co/hamxea/Mistral-7B-v0.1-activity-fine-tuned-v5 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-17
Maintainerhamxea
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hamxea/Mistral-7B-v0.1-activity-fine-tuned-v5.

Rank the Mistral 7B V0.1 Activity Fine Tuned V5 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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Release v20241124
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