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Microsoft Phi 3 Mini 128K Instruct HQQ 4bit Smashed by PrunaAI

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  4bit   Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3-min...   Conversational   Custom code   Endpoints compatible   Instruct   Phi3   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed 

Microsoft Phi 3 Mini 128K Instruct HQQ 4bit Smashed Benchmarks

LLME Score: 0.18493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Microsoft Phi 3 Mini 128K Instruct HQQ 4bit Smashed (PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed)

Microsoft Phi 3 Mini 128K Instruct HQQ 4bit Smashed Parameters and Internals

Additional Notes 
Results mentioning 'first' are obtained after the first run of the model... 'Sync' metrics are obtained by syncing all GPU processes and stop measurement when all of them are executed. 'Async' metrics are obtained without syncing all GPU processes and stop when the model output can be used by the CPU.
Input Output 
Performance Tips:
Test the efficiency gains directly in your use-cases.
LLM NameMicrosoft Phi 3 Mini 128K Instruct HQQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed 
Base Model(s)  Phi 3 Mini 128K Instruct   microsoft/Phi-3-mini-128k-instruct
Required VRAM2.3 GB
Updated2025-02-03
MaintainerPrunaAI
Model Typephi3
Instruction-BasedYes
Model Files  2.3 GB
Quantization Type4bit
Model ArchitecturePhi3ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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...m 128K Instruct 6.0bpw H6 EXL2128K / 10.7 GB93
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...m 128K Instruct 3.0bpw H6 EXL2128K / 5.6 GB50
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...28K Instruct Ov Fp16 Int4 Asym128K / 2.5 GB50
...128K Instruct HQQ 2bit Smashed128K / 1.4 GB60
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NuExtract Bpw6 EXL24K / 3 GB41
...Mini 4K Geminified 3 0bpw EXL24K / 1.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/microsoft-Phi-3-mini-128k-instruct-HQQ-4bit-smashed.

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Release v20241227
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