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Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model by rohithakollu

 »  All LLMs  »  rohithakollu  »  Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model   URL Share it on

  6   
  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rohithakollu/microsoft-30-epochs-rawdata-20-epochs-QA-data-finetuned-model 

Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model Benchmarks

LLME Score: 0.19074
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model (rohithakollu/microsoft-30-epochs-rawdata-20-epochs-QA-data-finetuned-model)

Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model Parameters and Internals

LLM NameMicrosoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned Model
Repository 🤗https://huggingface.co/rohithakollu/microsoft-30-epochs-rawdata-20-epochs-QA-data-finetuned-model 
Model Size2.8b
Required VRAM9.8 GB
Updated2025-02-22
Maintainerrohithakollu
Model Typephi
Model Files  5.0 GB: 1-of-2   4.8 GB: 2-of-2
Model ArchitecturePhiForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.41.2
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size50295
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than rohithakollu/microsoft-30-epochs-rawdata-20-epochs-QA-data-finetuned-model.

Rank the Microsoft 30 Epochs Rawdata 20 Epochs QA Data Finetuned 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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Release v20241227
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