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gemma-2b-AQLM-2Bit-2x8-hf

Text Generation

Inference Endpoints

text-generation-inference

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SpiridonSunRotator commited on Mar 10

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@@ -3,9 +3,10 @@ Official [AQLM](https://arxiv.org/abs/2401.06118) quantization of [google/gemma-
 For this quantization, we used 2 codebooks of 8 bits.
-Results:
-| Model      | AQLM scheme | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb |
 |------|------|------|-------|-------|-------|------|------|
-| gemma-2b |2x8| 0.5801	| 0.6828	| 0.3891	| 0.5791	| 0.2534| 1.6 |
 To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the [official GitHub repo](https://github.com/Vahe1994/AQLM).

 For this quantization, we used 2 codebooks of 8 bits.
+Results (0-shot `acc`):
+| Model      | Quantization | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb |
 |------|------|------|-------|-------|-------|------|------|
+|gemma-2b| None | 0.6472 | 0.7715 | 0.5279 | 0.7403 | 0.4053| 5.0 |
+|  |2x8| 0.5801	| 0.6828	| 0.3891	| 0.5791	| 0.2534| 1.6 |
 To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the [official GitHub repo](https://github.com/Vahe1994/AQLM).