Phi 3 Mini 4K Instruct Fp8 by unrahul

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  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Pytorch   Region:us

Phi 3 Mini 4K Instruct Fp8 Benchmarks

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 ๐Ÿค—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 Fp1635080 GB

Best Alternatives to Phi 3 Mini 4K Instruct Fp8

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...um 128K Instruct Onnx Directml128K /  GB425
Model1128K / 0.8 GB200
Note: green Score (e.g. "73.2") means that the model is better than unrahul/Phi-3-mini-4k-instruct-fp8.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227