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Phi 3 Mini 4K Instruct Fp8 by unrahul

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Phi 3 Mini 4K Instruct Fp8 is an open-source language model by unrahul. Features: LLM, VRAM: 4.3GB, Context: 4K, Instruction-Based, LLM Explorer Score: 0.13.

  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/unrahul/Phi-3-mini-4k-instruct-fp8 

Phi 3 Mini 4K Instruct Fp8 Benchmarks

LLME Score: 0.12663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini 4K Instruct Fp8 (unrahul/Phi-3-mini-4k-instruct-fp8)

Phi 3 Mini 4K Instruct Fp8 Parameters and Internals

LLM NamePhi 3 Mini 4K Instruct Fp8
Repository 🤗https://huggingface.co/unrahul/Phi-3-mini-4k-instruct-fp8 
Required VRAM4.3 GB
Updated2025-01-27
Maintainerunrahul
Model Typephi3
Instruction-BasedYes
Model Files  4.3 GB
Model ArchitecturePhi3ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

Quantized Models of the Phi 3 Mini 4K Instruct Fp8

Model
Likes
Downloads
VRAM
Phi 3 Mini 4K Instruct Fp1651110 GB

Best Alternatives to Phi 3 Mini 4K Instruct Fp8

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Phi 4 Mini Instruct ONNX GQA128K /  GB526
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Phi 3.5 Mini Instruct Onnx Web128K /  GB40715
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...i 3 Mini 128K Instruct Ov Int4128K / 2 GB90
...Medium 128K Instruct Onnx Cuda128K /  GB8524
... Medium 128K Instruct Onnx Cpu128K /  GB4714
...um 128K Instruct Onnx Directml128K /  GB586
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Meeting Model Phi3 128k128K / 7.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than unrahul/Phi-3-mini-4k-instruct-fp8.

Rank the Phi 3 Mini 4K Instruct Fp8 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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