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Phi2 OSST GPTQ by RaviNaik

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Phi2 OSST GPTQ is an open-source language model by RaviNaik. Features: 2.8b LLM, VRAM: 1.8GB, Context: 2K, Quantized, Merged, LLM Explorer Score: 0.11.

  Merged Model   4-bit   Custom code   Endpoints compatible   Gptq   Phi   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RaviNaik/Phi2-OSST-GPTQ 

Phi2 OSST GPTQ Benchmarks

LLME Score: 0.11253
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi2 OSST GPTQ (RaviNaik/Phi2-OSST-GPTQ)
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Phi2 OSST GPTQ Parameters and Internals

LLM NamePhi2 OSST GPTQ
Repository 🤗https://huggingface.co/RaviNaik/Phi2-OSST-GPTQ 
Merged ModelYes
Model Size2.8b
Required VRAM1.8 GB
Updated2026-04-28
MaintainerRaviNaik
Model Typephi
Model Files  1.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitecturePhiForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassCodeGenTokenizer
Padding Token<|endoftext|>
Vocabulary Size51200
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RaviNaik/Phi2-OSST-GPTQ.

Rank the Phi2 OSST GPTQ 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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