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Phi 3 Mini 128K Instruct Asym Int4 by unrahul

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  Autotrain compatible   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/unrahul/Phi-3-mini-128k-instruct-asym_int4 

Phi 3 Mini 128K Instruct Asym Int4 Benchmarks

LLME Score: 0.19583
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 128K Instruct Asym Int4 (unrahul/Phi-3-mini-128k-instruct-asym_int4)

Phi 3 Mini 128K Instruct Asym Int4 Parameters and Internals

LLM NamePhi 3 Mini 128K Instruct Asym Int4
Repository 🤗https://huggingface.co/unrahul/Phi-3-mini-128k-instruct-asym_int4 
Required VRAM2.5 GB
Updated2024-12-22
Maintainerunrahul
Model Typephi3
Instruction-BasedYes
Model Files  2.5 GB
Model ArchitecturePhi3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than unrahul/Phi-3-mini-128k-instruct-asym_int4.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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