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gemma-2b-AQLM-2Bit-1x16-hf

Text Generation
Transformers
Safetensors
gemma
Inference Endpoints
text-generation-inference
aqlm
Model card Files Community
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@@ -6,6 +6,6 @@ For this quantization, we used 1 codebook of 16 bits.
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  Results:
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  | Model | AQLM scheme | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb |
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  |------|------|------|-------|-------|-------|------|------|
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- | gemma-2b |2x8| 0.6275 | 0.7318 | 0.4582 | 0.6923 | 0.3259| 1.7 |
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  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).
 
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  Results:
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  | Model | AQLM scheme | WinoGrande | PiQA | HellaSwag | ArcE | ArcC | Model size, Gb |
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  |------|------|------|-------|-------|-------|------|------|
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+ | gemma-2b |1x16| 0.6275 | 0.7318 | 0.4582 | 0.6923 | 0.3259| 1.7 |
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  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).