[Hardware][XPU] AWQ/GPTQ support for xpu backend (#10107)
Signed-off-by: yan ma <yan.ma@intel.com>
This commit is contained in:
@@ -27,7 +27,7 @@ The table below shows the compatibility of various quantization implementations
|
||||
- ✅︎
|
||||
- ✅︎
|
||||
- ✗
|
||||
- ✗
|
||||
- ✅︎
|
||||
- ✅︎
|
||||
- ✗
|
||||
- ✗
|
||||
@@ -38,8 +38,8 @@ The table below shows the compatibility of various quantization implementations
|
||||
- ✅︎
|
||||
- ✅︎
|
||||
- ✗
|
||||
- ✗
|
||||
- ✗
|
||||
- ✅︎
|
||||
- ✅︎
|
||||
- ✗
|
||||
- ✗
|
||||
* - Marlin (GPTQ/AWQ/FP8)
|
||||
@@ -129,4 +129,4 @@ Notes:
|
||||
|
||||
Please note that this compatibility chart may be subject to change as vLLM continues to evolve and expand its support for different hardware platforms and quantization methods.
|
||||
|
||||
For the most up-to-date information on hardware support and quantization methods, please check the `quantization directory <https://github.com/vllm-project/vllm/tree/main/vllm/model_executor/layers/quantization>`_ or consult with the vLLM development team.
|
||||
For the most up-to-date information on hardware support and quantization methods, please check the `quantization directory <https://github.com/vllm-project/vllm/tree/main/vllm/model_executor/layers/quantization>`_ or consult with the vLLM development team.
|
||||
|
||||
Reference in New Issue
Block a user