- 11 Dec, 2023 1 commit
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Pierre Stock authored
Co-authored-by:
Pierre Stock <p@mistral.ai> Co-authored-by:
Zhuohan Li <zhuohan123@gmail.com>
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- 10 Dec, 2023 3 commits
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wbn authored
Co-authored-by:
wangguoya <wangguoya@baidu.com> Co-authored-by:
Yang Zhao <zhaoyangstar@foxmail.com>
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Woosuk Kwon authored
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Woosuk Kwon authored
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- 09 Dec, 2023 1 commit
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Jun Gao authored
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- 08 Dec, 2023 2 commits
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firebook authored
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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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- 07 Dec, 2023 1 commit
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Jie Li authored
Co-authored-by:lijie8 <lijie8@sensetime.com>
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- 05 Dec, 2023 1 commit
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dancingpipi authored
Co-authored-by:shujunhua1 <shujunhua1@jd.com>
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- 03 Dec, 2023 1 commit
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Woosuk Kwon authored
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- 01 Dec, 2023 1 commit
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Woosuk Kwon authored
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- 30 Nov, 2023 3 commits
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Roy authored
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Jee Li authored
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Woosuk Kwon authored
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- 29 Nov, 2023 2 commits
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Woosuk Kwon authored
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Woosuk Kwon authored
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- 28 Nov, 2023 3 commits
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Zhuohan Li authored
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Woosuk Kwon authored
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explainerauthors authored
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- 27 Nov, 2023 1 commit
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ljss authored
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- 24 Nov, 2023 2 commits
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Woosuk Kwon authored
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Yanming W authored
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- 22 Nov, 2023 1 commit
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ljss authored
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- 21 Nov, 2023 3 commits
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Zhuohan Li authored
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Woosuk Kwon authored
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ljss authored
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- 20 Nov, 2023 2 commits
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Woosuk Kwon authored
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Simon Mo authored
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- 19 Nov, 2023 3 commits
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ljss authored
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Woosuk Kwon authored
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twaka authored
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- 18 Nov, 2023 2 commits
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Woosuk Kwon authored
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Roy authored
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- 16 Nov, 2023 4 commits
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maximzubkov authored
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twaka authored
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Megha Agarwal authored
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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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- 13 Nov, 2023 1 commit
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Woosuk Kwon authored
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- 12 Nov, 2023 1 commit
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lirui authored
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- 09 Nov, 2023 1 commit
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forpanyang authored
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