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Phi 2 Nf4 Fp16 Upscaled by arnavgrg

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  Autotrain compatible   Custom code   Endpoints compatible   Fp16   Phi   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arnavgrg/phi-2-nf4-fp16-upscaled 

Phi 2 Nf4 Fp16 Upscaled Benchmarks

LLME Score: 0.16548
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 2 Nf4 Fp16 Upscaled (arnavgrg/phi-2-nf4-fp16-upscaled)

Phi 2 Nf4 Fp16 Upscaled Parameters and Internals

Model Type 
text generation
Additional Notes 
This is an upscaled fp16 variant of the original Phi-2 base model using nf4 4-bit quantization. The quantization operation to nf4 is not lossless, affecting the model's performance compared to the original model.
Input Output 
Performance Tips:
To use this model, you can just load it via `transformers` in fp16.
LLM NamePhi 2 Nf4 Fp16 Upscaled
Repository 🤗https://huggingface.co/arnavgrg/phi-2-nf4-fp16-upscaled 
Model Size2.8b
Required VRAM5.6 GB
Updated2025-02-05
Maintainerarnavgrg
Model Typephi
Model Files  5.0 GB: 1-of-2   0.6 GB: 2-of-2
Quantization Typefp16
Model ArchitecturePhiForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.0
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 arnavgrg/phi-2-nf4-fp16-upscaled.

Rank the Phi 2 Nf4 Fp16 Upscaled 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 v20241227
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