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Phi 2 Int4 Inc by Intel

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Phi 2 Int4 Inc is an open-source language model by Intel. Features: 599.8m LLM, VRAM: 1.8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.12.

  4-bit   Dataset:neelnanda/pile-10k   Endpoints compatible   Intel/auto-round   Phi   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Intel/phi-2-int4-inc 

Phi 2 Int4 Inc Benchmarks

LLME Score: 0.11754
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Int4 Inc (Intel/phi-2-int4-inc)
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Phi 2 Int4 Inc Parameters and Internals

Model Type 
INT4 inference model, causal language model
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Language generation
Primary Use Cases:
Text generation in natural language processing
Limitations:
May generate factually incorrect, lewd, biased, or otherwise offensive outputs.
Additional Notes 
The model employs INT4 quantization, which may result in slight accuracy trade-offs. Model developed using Intel's auto-round tool.
Supported Languages 
Engish (proficient)
Responsible Ai Considerations 
Fairness:
The model may generate biased or offensive outputs.
Transparency:
Developers should perform safety testing before deployment.
Accountability:
Model users should be aware of risks and biases.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Consider using the latest version of the Intel Extension for Transformers for optimal performance.
LLM NamePhi 2 Int4 Inc
Repository 🤗https://huggingface.co/Intel/phi-2-int4-inc 
Model Size599.8m
Required VRAM1.8 GB
Updated2026-04-14
MaintainerIntel
Model Typephi
Model Files  1.8 GB
Model ArchitecturePhiForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.44.2
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat16

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Phi 2 Int4 Inc2K / 1.8 GB774
Note: green Score (e.g. "73.2") means that the model is better than Intel/phi-2-int4-inc.

Rank the Phi 2 Int4 Inc 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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