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Phi3 4K by ehartford

 »  All LLMs  »  ehartford  »  Phi3 4K   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ehartford/phi3-4k 

Phi3 4K Benchmarks

ARC: 96.3 vs 96.7 (so35)-0.4%
HellaSwag: 87.5 vs 95.3 (gpt4)-8.2%
MMLU: 72.9 vs 88.3 (so35)-17.4%
GSM8K: 21.7 vs 96.4 (so35)-77.5%
OpenCompas: 59.3 vs 73.3 (gpt4)-19.1%
Exam: 77.6 vs 77.2 (gpt4)0.5%
Language: 36.1 vs 62 (gpt4)-41.8%
Knowledge: 61.6 vs 73.5 (gpt4)-16.2%
Understand: 70.8 vs 70 (gpt4)1.1%
Reasoning: 55.9 vs 74.4 (gpt4)-24.9%
LLME Score: 0.16629
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi3 4K (ehartford/phi3-4k)
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Phi3 4K Parameters and Internals

Additional Notes 
This model card is automatically generated as part of ongoing experimentation and is not meant for reuse. Significant information required throughout.
LLM NamePhi3 4K
Repository 🤗https://huggingface.co/ehartford/phi3-4k 
Model Size3.8b
Required VRAM7.7 GB
Updated2025-06-17
Maintainerehartford
Model Typephi3
Instruction-BasedYes
Model Files  2.0 GB: 1-of-4   1.9 GB: 2-of-4   2.0 GB: 3-of-4   1.8 GB: 4-of-4
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ehartford/phi3-4k.

Rank the Phi3 4K 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 v20241124
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