mirror of
https://github.com/vllm-project/vllm.git
synced 2025-10-20 14:53:52 +08:00
Notice for deprecation of AutoAWQ (#26820)
Signed-off-by: HDCharles <39544797+HDCharles@users.noreply.github.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This commit is contained in:
@ -1,5 +1,9 @@
|
||||
# AutoAWQ
|
||||
|
||||
> ⚠️ **Warning:**
|
||||
The `AutoAWQ` library is deprecated. This functionality has been adopted by the vLLM project in [`llm-compressor`](https://github.com/vllm-project/llm-compressor/tree/main/examples/awq).
|
||||
For the recommended quantization workflow, please see the AWQ examples in [`llm-compressor`](https://github.com/vllm-project/llm-compressor/tree/main/examples/awq). For more details on the deprecation, refer to the original [AutoAWQ repository](https://github.com/casper-hansen/AutoAWQ).
|
||||
|
||||
To create a new 4-bit quantized model, you can leverage [AutoAWQ](https://github.com/casper-hansen/AutoAWQ).
|
||||
Quantization reduces the model's precision from BF16/FP16 to INT4 which effectively reduces the total model memory footprint.
|
||||
The main benefits are lower latency and memory usage.
|
||||
|
Reference in New Issue
Block a user