- 20 Jul, 2024 1 commit
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Robert Shaw authored
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- 30 Jun, 2024 1 commit
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Dipika Sikka authored
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- 29 Apr, 2024 1 commit
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SangBin Cho authored
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- 26 Apr, 2024 1 commit
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Cody Yu authored
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- 23 Apr, 2024 1 commit
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James Fleming authored
Co-authored-by:mgoin <michael@neuralmagic.com>
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- 11 Apr, 2024 2 commits
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Antoni Baum authored
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Kunshang Ji authored
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- 11 Mar, 2024 1 commit
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Zhuohan Li authored
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- 01 Feb, 2024 1 commit
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Kunshang Ji authored
Co-authored-by:
Jiang Li <jiang1.li@intel.com> Co-authored-by:
Kunshang Ji <kunshang.ji@intel.com>
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- 15 Dec, 2023 1 commit
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CHU Tianxiang authored
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- 08 Dec, 2023 1 commit
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TJian authored
Co-authored-by:
Philipp Moritz <pcmoritz@gmail.com> Co-authored-by:
Amir Balwel <amoooori04@gmail.com> Co-authored-by:
root <kuanfu.liu@akirakan.com> Co-authored-by:
tjtanaa <tunjian.tan@embeddedllm.com> Co-authored-by:
kuanfu <kuanfu.liu@embeddedllm.com> Co-authored-by:
miloice <17350011+kliuae@users.noreply.github.com>
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- 24 Nov, 2023 1 commit
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Yanming W authored
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- 19 Nov, 2023 1 commit
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Woosuk Kwon authored
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- 16 Nov, 2023 1 commit
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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.
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