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Phi Sentiment Analysis Model by matheusrdgsf

By matheusrdgsf · 4 downloads
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Phi Sentiment Analysis Model is an open-source language model by matheusrdgsf. Features: 1.4b LLM, VRAM: 2.8GB, Context: 2K, LLM Explorer Score: 0.12.

  Custom code   En   Endpoints compatible   Phi   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/matheusrdgsf/phi-sentiment-analysis-model 

Phi Sentiment Analysis Model Parameters and Internals

Model Type 
text-classification
Use Cases 
Areas:
sentiment analysis
Applications:
movie reviews, customer feedback, social media monitoring
Primary Use Cases:
text sentiment classification
Supported Languages 
en (High)
Training Details 
Data Sources:
IMDB Dataset
Methodology:
Fine-tuning for sentiment analysis
Input Output 
Input Format:
Sentence: {text}
Accepted Modalities:
text
Output Format:
One word: 'positive' or 'negative'
LLM NamePhi Sentiment Analysis Model
Repository 🤗https://huggingface.co/matheusrdgsf/phi-sentiment-analysis-model 
Model Size1.4b
Required VRAM2.8 GB
Updated2026-07-31
Maintainermatheusrdgsf
Model Typephi
Model Files  2.8 GB
Supported Languagesen
Model ArchitecturePhiForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.37.0
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16

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