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Phi3 4K by ehartford

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

  15   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Region:us   Safetensors   Sharded   Tensorflow

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: 0.21454
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Phi3 4K Parameters and Internals

LLM NamePhi3 4K
Repository 🤗https://huggingface.co/ehartford/phi3-4k 
Model Size3.8b
Required VRAM7.7 GB
Updated2024-09-20
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
Phi3 4K (ehartford/phi3-4k)

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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

🆘 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 v2024072803
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