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[V1] [Hybrid] Disable prefix caching by default for hybrid or mamba-based models (#23716)

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Signed-off-by: Thomas Parnell <tpa@zurich.ibm.com>
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Thomas Parnell 2025-08-27 14:51:54 +02:00 committed by GitHub
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2 changed files with 11 additions and 8 deletions
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10
docs/usage/v1_guide.md
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@ -107,14 +107,16 @@ to enable simultaneous generation and embedding using the same engine instance i
#### Mamba Models
Models using selective state-space mechanisms instead of standard transformer attention are supported.
Models that use Mamba-2 and Mamba-1 layers (e.g., `Mamba2ForCausalLM`, `MambaForCausalLM`) are supported. Please note that these models currently require disabling prefix caching in V1.
Models that use Mamba-2 and Mamba-1 layers (e.g., `Mamba2ForCausalLM`, `MambaForCausalLM`) are supported.
Please note that prefix caching is not yet supported for these models.
Models that combine Mamba-2 and Mamba-1 layers with standard attention layers are also supported (e.g., `BambaForCausalLM`,
`Zamba2ForCausalLM`, `NemotronHForCausalLM`, `FalconH1ForCausalLM` and `GraniteMoeHybridForCausalLM`, `JambaForCausalLM`). Please note that
these models currently require disabling prefix caching in V1.
`Zamba2ForCausalLM`, `NemotronHForCausalLM`, `FalconH1ForCausalLM` and `GraniteMoeHybridForCausalLM`, `JambaForCausalLM`).
Please note that prefix caching is not yet supported for these models.
Hybrid models with mechanisms different to Mamba are also supported (e.g, `MiniMaxText01ForCausalLM`, `MiniMaxM1ForCausalLM`).
Please note that these models currently require disabling prefix caching and enforcing eager mode in V1.
Please note that prefix caching is not yet supported for these models.
It is also necessary to enforce eager mode for these models in V1.
#### Encoder-Decoder Models

9
vllm/model_executor/models/config.py
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@ -292,12 +292,13 @@ class MambaModelConfig(VerifyAndUpdateConfig):
return
model_config = vllm_config.model_config
cache_config = vllm_config.cache_config
compilation_config = vllm_config.compilation_config
model_cls, _ = ModelRegistry.resolve_model_cls(
model_config.architecture,
model_config=model_config,
)
# TODO(tdoublep): remove once prefix caching is enabled
cache_config.enable_prefix_caching = False
logger.info("Hybrid or mamba-based model detected: disabling prefix "
"caching since it is not yet supported.")
# TODO(tdoublep): remove as full cuda graph support is added
FCG_NOT_SUPPORTED_MODELS = [