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[ Kernel ] Fp8 Channelwise Weight Support #6487

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robertgshaw2-neuralmagic
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@robertgshaw2-neuralmagic robertgshaw2-neuralmagic commented Jul 16, 2024

SUMMARY:

  • support channelwise scales for fp8 via compressed-tensors via cutlass kernels
  • note: on devices without support for cutlass (ada - for now), we cannot run these models. An alternative approach is to re-enable cutlass on these devices OR fall back to per tensor quantization

TEST PLAN:

  • manually verified correctness of the model below. We do not have H100s in CI so we cannot run this
from vllm import LLM
model = LLM("nm-testing/Meta-Llama-3-8B-Instruct-W8A8-FP8-Channelwise-compressed-tensors")

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👋 Hi! Thank you for contributing to the vLLM project.
Just a reminder: PRs would not trigger full CI run by default. Instead, it would only trigger fastcheck CI to run, which consists only a small and essential subset of tests to quickly catch errors with the flexibility to run extra individual tests on top (you can do this by unblocking test steps in the Buildkite run).

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@robertgshaw2-neuralmagic robertgshaw2-neuralmagic changed the title seeing accuracy jumps with ifeval [ Kernel ] Fp8 Channelwise Weight Support Jul 16, 2024
@robertgshaw2-neuralmagic robertgshaw2-neuralmagic requested review from simon-mo and comaniac and removed request for simon-mo July 16, 2024 23:40
@robertgshaw2-neuralmagic
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/ready

@github-actions github-actions bot added the ready ONLY add when PR is ready to merge/full CI is needed label Jul 16, 2024
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@mgoin mgoin left a comment

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Nice job!

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@tlrmchlsmth tlrmchlsmth left a comment

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Are you going to do per-token in a separate PR? (Waiting on the quant kernel for that one?)

@robertgshaw2-neuralmagic
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Are you going to do per-token in a separate PR? (Waiting on the quant kernel for that one?)

Separate PR, waiting on quant kernel. Do you know current state?

@tlrmchlsmth
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Are you going to do per-token in a separate PR? (Waiting on the quant kernel for that one?)

Separate PR, waiting on quant kernel. Do you know current state?

#6511

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You should merge main to resolve the doc failure.

@robertgshaw2-neuralmagic robertgshaw2-neuralmagic enabled auto-merge (squash) July 17, 2024 19:05
@robertgshaw2-neuralmagic robertgshaw2-neuralmagic merged commit 18fecc3 into vllm-project:main Jul 18, 2024
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@robertgshaw2-neuralmagic robertgshaw2-neuralmagic deleted the channelwise-scales branch July 18, 2024 03:18
fialhocoelho pushed a commit to opendatahub-io/vllm that referenced this pull request Jul 19, 2024
xjpang pushed a commit to xjpang/vllm that referenced this pull request Jul 24, 2024
gnpinkert pushed a commit to gnpinkert/vllm that referenced this pull request Jul 26, 2024
Alvant pushed a commit to compressa-ai/vllm that referenced this pull request Oct 26, 2024
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