- 05 May, 2024 3 commits
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zhaoyang-star authored
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Simon Mo authored
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Simon Mo authored
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- 04 May, 2024 5 commits
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DearPlanet authored
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Simon Mo authored
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Michael Goin authored
[Kernel] Support MoE Fp8 Checkpoints for Mixtral (Static Weights with Dynamic/Static Activations) (#4527) Follow on to #4332 to enable FP8 checkpoint loading for Mixtral and supersedes #4436. This PR enables the following checkpoint loading features for Mixtral: Supports loading fp8 checkpoints for Mixtral, such as this "nm-testing/Mixtral-8x7B-Instruct-v0.1-FP8" test model Supports static or dynamic activation quantization with static weight quantization (all per tensor) Supports different scales for each expert weight Supports Fp8 in QKV layer Notes: The Expert Gate/Router always runs at half / full precision for now. If there are different weight scales between QKV layer (for separate QKV weights), they are re-quantized using layer.weight_scale.max() so we can have a single gemm for performance.
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SangBin Cho authored
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Cody Yu authored
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- 03 May, 2024 10 commits
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youkaichao authored
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Cade Daniel authored
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Lily Liu authored
Co-authored-by:LiuXiaoxuanPKU <llilyliupku@gmail.com>
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Sebastian Schoennenbeck authored
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Michael Goin authored
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SangBin Cho authored
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youkaichao authored
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DefTruth authored
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Yang, Bo authored
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youkaichao authored
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- 02 May, 2024 13 commits
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SangBin Cho authored
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Alexei-V-Ivanov-AMD authored
Co-authored-by:simon-mo <simon.mo@hey.com>
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Michał Moskal authored
Co-authored-by:SangBin Cho <rkooo567@gmail.com>
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youkaichao authored
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Mark McLoughlin authored
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Hu Dong authored
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SangBin Cho authored
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alexm-nm authored
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youkaichao authored
Co-authored-by:Zhuohan Li <zhuohan123@gmail.com>
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SangBin Cho authored
Co-authored-by:Cade Daniel <edacih@gmail.com>
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Ronen Schaffer authored
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SangBin Cho authored
[Bug fix][Core] assert num_new_tokens == 1 fails when SamplingParams.n is not 1 and max_tokens is large & Add tests for preemption (#4451)
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Danny Guinther authored
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- 01 May, 2024 9 commits
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Woosuk Kwon authored
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Philipp Moritz authored
Remove the device="cuda" declarations in mixtral as promised in #4343
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youkaichao authored
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Roy authored
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sasha0552 authored
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Philipp Moritz authored
This PR updates the tuning script for the fused_moe kernel to support FP8 and also adds configurations for TP4. Note that for the configuration I removed num_warps and num_stages for small batch sizes since that improved performance and brought the benchmarks on par with the numbers before in that regime to make sure this is a strict improvement over the status quo. All the numbers below are for mistralai/Mixtral-8x7B-Instruct-v0.1, 1000 input and 50 output tokens. Before this PR (with static activation scaling): qps = 1: 9.8 ms ITL, 0.49s e2e latency qps = 2: 9.7 ms ITL, 0.49s e2e latency qps = 4: 10.1 ms ITL, 0.52s e2e latency qps = 6: 11.9 ms ITL, 0.59s e2e latency qps = 8: 14.0 ms ITL, 0.70s e2e latency qps = 10: 15.7 ms ITL, 0.79s e2e latency After this PR (with static activation scaling): qps = 1: 9.8 ms ITL, 0.49s e2e latency qps = 2: 9.7 ms ITL, 0.49s e2e latency qps = 4: 10.2 ms ITL, 0.53s e2e latency qps = 6: 11.9 ms ITL, 0.59s e2e latency qps = 8: 11.9 ms ITL, 0.59s e2e latency qps = 10: 12.1 ms ITL, 0.61s e2e latency
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Nick Hill authored
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leiwen83 authored
Co-authored-by:
Lei Wen <wenlei03@qiyi.com> Co-authored-by:
Sage Moore <sagemoore@utexas.edu>
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leiwen83 authored
Co-authored-by:Lei Wen <wenlei03@qiyi.com>
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