- 12 Dec, 2023 1 commit
-
-
Megha Agarwal authored
Co-authored-by:Woosuk Kwon <woosuk.kwon@berkeley.edu>
-
- 30 Nov, 2023 1 commit
-
-
Woosuk Kwon authored
-
- 29 Nov, 2023 1 commit
-
-
Woosuk Kwon authored
-
- 20 Nov, 2023 1 commit
-
-
Simon Mo authored
-
- 19 Nov, 2023 1 commit
-
-
Woosuk Kwon authored
-
- 16 Nov, 2023 2 commits
-
-
Megha Agarwal authored
-
Zhuohan Li authored
TP/quantization/weight loading refactor part 2 - Refactor quantized linear logic and extend quantization support to all models (#1622) Refactor the tensor parallelism, quantization, and weight-loading codes. Summary of the new features enabled by this PR: - **All models** are able to be quantized with AWQ and SqueezeLLM, and [soon GPTQ](https://github.com/vllm-project/vllm/pull/1580). - Model loading code became much simpler. - Support model parallelism for all MQA/GQA models when the number of key/value heads is smaller than the tensor parallel size.
-
- 01 Nov, 2023 1 commit
-
-
Woosuk Kwon authored
-
- 02 Oct, 2023 1 commit
-
-
Zhuohan Li authored
-
- 13 Sep, 2023 1 commit
-
-
Jasmond L authored
Co-authored-by:
Jasmond Loh <Jasmond.Loh@hotmail.com> Co-authored-by:
Zhuohan Li <zhuohan123@gmail.com>
-
- 07 Sep, 2023 1 commit
-
-
Zhuohan Li authored
-
- 05 Sep, 2023 1 commit
-
-
Zhuohan Li authored
-
- 09 Jul, 2023 1 commit
-
-
Andre Slavescu authored
Co-authored-by:
-
- 03 Jul, 2023 1 commit
-
-
Woosuk Kwon authored
-
