An official quantization of meta-llama/Llama-2-7b using PV-Tuning on top of AQLM.
0
5 commits
1 linked in READMEs
updated May 31, 2024
An official quantization of meta-llama/Llama-2-7b using PV-Tuning on top of AQLM.
For this quantization, we used 2 codebooks of 8 bits each for groups of 8 weights.
| Model | AQLM scheme | WikiText 2 PPL | Model size, Gb | Hub link |
|---|---|---|---|---|
| Llama-2-7b | 1x16 | 5.68 | 2.4 | Link |
| Llama-2-7b (this) | 2x8 | 5.90 | 2.2 | Link |
| Llama-2-7b | 1x16g16 | 9.21 | 1.7 | Link |
| Llama-2-13b | 1x16 | 5.05 | 4.1 | Link |
| Llama-2-70b | 1x16 | 3.78 | 18.8 | Link |
The 1x16g16 (1-bit) models are on the way, as soon as we update the inference lib with their respective kernels.
To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the official GitHub repo. The original code for PV-Tuning can be found in the AQLM@pv-tuning branch.
An official quantization of meta-llama/Llama-2-7b using PV-Tuning on top of AQLM.
0
5 commits
1 linked in READMEs
updated May 31, 2024
An official quantization of meta-llama/Llama-2-7b using PV-Tuning on top of AQLM.
For this quantization, we used 2 codebooks of 8 bits each for groups of 8 weights.
| Model | AQLM scheme | WikiText 2 PPL | Model size, Gb | Hub link |
|---|---|---|---|---|
| Llama-2-7b | 1x16 | 5.68 | 2.4 | Link |
| Llama-2-7b (this) | 2x8 | 5.90 | 2.2 | Link |
| Llama-2-7b | 1x16g16 | 9.21 | 1.7 | Link |
| Llama-2-13b | 1x16 | 5.05 | 4.1 | Link |
| Llama-2-70b | 1x16 | 3.78 | 18.8 | Link |
The 1x16g16 (1-bit) models are on the way, as soon as we update the inference lib with their respective kernels.
To learn more about the inference, as well as the information on how to quantize models yourself, please refer to the official GitHub repo. The original code for PV-Tuning can be found in the AQLM@pv-tuning branch.
