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GreenBit LLMs

This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.

Please refer to our Github page for the code to run the model and more information.

zero-shot evaluation

Repository (Phi Family) Avg Acc. OpenBQ ARC-E Winogr. HellaS. ARC-C PIQA BoolQ RACE ANLI-R1 ANLI-R2 ANLI-R3 WiC
Phi-3-mini-128k-instruct-layer-mix-bpw-2.2 0.510 0.270 0.706 0.648 0.479 0.411 0.736 0.783 0.381 0.393 0.38 0.399 0.536
Phi-3-mini-128k-instruct-layer-mix-bpw-2.5 0.514 0.290 0.719 0.656 0.488 0.401 0.750 0.778 0.401 0.392 0.410 0.407 0.493
Phi-3-mini-128k-instruct-layer-mix-bpw-3.0 0.548 0.318 0.761 0.663 0.519 0.453 0.777 0.798 0.393 0.473 0.404 0.442 0.579
Phi-3-mini-128k-instruct-layer-mix-bpw-4.0 0.582 0.346 0.779 0.708 0.582 0.495 0.787 0.840 0.412 0.529 0.459 0.448 0.606
Phi-3-mini-128k-instruct 0.586 0.342 0.785 0.731 0.596 0.512 0.782 0.851 0.401 0.547 0.464 0.432 0.594

5-shot evaluation

Repository (Phi Family) Avg Acc. OpenBQ ARC-E Winogr. HellaS. ARC-C PIQA BoolQ RACE ANLI-R1 ANLI-R2 ANLI-R3 WiC
Phi-3-mini-128k-instruct-layer-mix-bpw-2.2 0.534 0.302 0.738 0.659 0.487/0.636 0.438 0.744 0.793 0.408 0.421 0.404 0.439 0.583
Phi-3-mini-128k-instruct-layer-mix-bpw-2.5 0.543 0.310 0.771 0.671 0.501/0.657 0.441 0.763 0.799 0.405 0.453 0.427 0.443 0.534
Phi-3-mini-128k-instruct-layer-mix-bpw-3.0 0.563 0.346 0.796 0.687 0.528/0.694 0.500 0.782 0.809 0.410 0.473 0.394 0.474 0.565
Phi-3-mini-128k-instruct-layer-mix-bpw-4.0 0.602 0.374 0.817 0.725 0.598/0.768 0.542 0.766 0.864 0.428 0.523 0.456 0.497 0.658
Phi-3-mini-128k-instruct 0.608 0.408 0.825 0.725 0.608/0.781 0.534 0.768 0.866 0.538 0.483 0.515 0.627
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Model size
708M params
Tensor type
I32
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FP16
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I16
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Collection including GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-4.0