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Phi 2 Alpaca Cleaned by ohashi56225

 »  All LLMs  »  ohashi56225  »  Phi 2 Alpaca Cleaned   URL Share it on

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  Autotrain compatible   Custom code   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ohashi56225/phi-2-alpaca-cleaned 

Phi 2 Alpaca Cleaned Benchmarks

LLME Score: 0.13225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Alpaca Cleaned (ohashi56225/phi-2-alpaca-cleaned)
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Phi 2 Alpaca Cleaned Parameters and Internals

Model Type 
instruction-tuned, text generation
Additional Notes 
The model is designed for text generation tasks involving instruction tuning.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
yahma/alpaca-cleaned
Methodology:
Full parameter fine-tuning; LoRA was not used
Hardware Used:
8 × A6000 48GB GPUs
Input Output 
Input Format:
Instruction: Based on the information provided, rewrite the sentence by changing its tense from past to future.
Accepted Modalities:
text
Output Format:
Response: She will play the piano beautifully for hours and then stop as it will be midnight.
LLM NamePhi 2 Alpaca Cleaned
Repository 🤗https://huggingface.co/ohashi56225/phi-2-alpaca-cleaned 
Model Size2.8b
Required VRAM11.1 GB
Updated2025-02-17
Maintainerohashi56225
Model Typephi
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.1 GB: 3-of-3
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.38.0.dev0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size50295
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than ohashi56225/phi-2-alpaca-cleaned.

Rank the Phi 2 Alpaca Cleaned 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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