#52167·vllm

[RFC]: Extended online quantization roadmap

Author: fxmarty-amdCreated Aug 13, 2026Updated Sep 17, 2026
LabelsRFCquantization

Motivation.

Continuation of https://github.com/vllm-project/vllm/issues/32029.

Online quantization API is now relatively stable at https://github.com/vllm-project/vllm/tree/main/vllm/model_executor/layers/quantization/online and documented at https://docs.vllm.ai/en/stable/features/quantization/online/.

This RFC summarizes and motivates proposed features that would be helpful to make online quantization to be more flexible and more widely compatible with models, including pre-quantized ones.

Proposed Change.

1. Support activation quant key override

Implemented in https://github.com/vllm-project/vllm/pull/51808.

This is necessary to dispatch on specific linear/moe backends that can be picked only through the activation_quant_key (see e.g. https://github.com/vllm-project/vllm/blob/c4e969294ecab9ffefb995b734303f13f62b723f/vllm/model_executor/layers/fused_moe/oracle/mxfp4.py#L441-L445)

2. [done] Targeted online quantization configuration based on user patterns

Implemented in https://github.com/vllm-project/vllm/pull/51285, RFC in https://github.com/vllm-project/vllm/issues/50281.

The goal is simply to extend the UI to support e.g. --quantization-config.targets '{"re:.*o_proj.*":"mxfp8"}', e.g. to target a single layer similar to e.g. https://github.com/vllm-project/vllm/blob/dc9f845ddc54c1df38fdbce5afe03f9fd15813bd/vllm/model_executor/layers/attention/mla_attention.py#L935-L948 (that is currently hard-coded and may be causing accuracy issues if done silently https://github.com/vllm-project/vllm/pull/48051), or e.g. --quantization-config.targets '{"re:.*shared_expert.*":"fp8_per_block"}' to enable fused shared expert.

3. [done] Support online quantization with partially pre-quantized checkpoints

Implemented in https://github.com/vllm-project/vllm/pull/51392.

This is necessary to combine online quantization with already partially quantized checkpoints, which is notoriously the case recently. This is e.g. useful to test the accuracy/speed tradeoff of quantizing certain additional layers, or useful to e.g. release a single model compatible with fused shared expert / unfused shared expert.

This has e.g. been requested in separate PRs:

4. Requantize already-quantized layers to different precision (different weight quant key)

Implemented in https://github.com/vllm-project/vllm/pull/55684

This is similar to https://github.com/sgl-project/sglang/pull/28291 & https://github.com/sgl-project/sglang/pull/29328 on sglang side.

This idea here would be to allow loading through a certain quantization method, dequantize and override the quantization method on request.

This has e.g. been requested in:

5. Adopt online/* API for Humming online quantization, torchao online quantization

Currently, Humming (https://github.com/vllm-project/vllm/pull/34556) and torchao (https://github.com/vllm-project/vllm/pull/32133, https://github.com/vllm-project/vllm/pull/23014) have their own online quantization logic:

https://github.com/vllm-project/vllm/blob/93eea4f665a0a6a188fd52b37f4a18bc37315f62/vllm/model_executor/layers/quantization/humming.py#L268-L277

https://github.com/vllm-project/vllm/blob/340b7e4909f14ff33943ab6ac7955191e1b8b4ff/vllm/model_executor/layers/quantization/torchao.py#L383-L389

In contrary proposed online quantization for AMD/Quark in vLLM that intended to plug similarly in existing quant method was rejected: https://github.com/vllm-project/vllm/issues/31028 - so we ended up having a plugin (and eventually adopting upstream online/* API now).

These torchao/humming logics could be moved to use the online quantization frontend.

cc @jerryzh168 @kylesayrs @jinzhen-lin

Feedback Period.

One month

CC List.

@BowenBao @mgoin @kylesayrs @vkuzo @maeehart @tanpinsiang @fanxingran @access2rohit

Any Other Things.

No response

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