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Phi 3 Mini 4K Base by devngho

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  Autotrain compatible   Custom code Dataset:huggingfacefw/fineweb-...   En   Endpoints compatible   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/devngho/phi-3-mini-4k-base 

Phi 3 Mini 4K Base Benchmarks

LLME Score: 0.17791
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Base (devngho/phi-3-mini-4k-base)

Phi 3 Mini 4K Base Parameters and Internals

Model Type 
nlp, phi3
Additional Notes 
Since the base model is an instruct-following model, sometimes the model may generate chat-like responses.
Supported Languages 
en (NLP)
Training Details 
Data Sources:
HuggingFaceFW/fineweb-edu
Data Volume:
150,000 samples
Training Time:
~12 hours
Hardware Used:
TPU v4-32
LLM NamePhi 3 Mini 4K Base
Repository 🤗https://huggingface.co/devngho/phi-3-mini-4k-base 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-06-01
Maintainerdevngho
Model Typephi3
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than devngho/phi-3-mini-4k-base.

Rank the Phi 3 Mini 4K Base 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 v20241227
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