Phi Gath by gathnex

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  Autotrain compatible   Custom code   Mixformer-sequential   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/gathnex/phi_gath 

Phi Gath Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi Gath (gathnex/phi_gath)
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Phi Gath Parameters and Internals

LLM NamePhi Gath
Repository ๐Ÿค—https://huggingface.co/gathnex/phi_gath 
Required VRAM2.8 GB
Updated2025-08-12
Maintainergathnex
Model Typemixformer-sequential
Model Files  2.8 GB
Model ArchitectureMixFormerSequentialForCausalLM
Model Max Length2048
Transformers Version4.33.1
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than gathnex/phi_gath.

Rank the Phi Gath 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