flash_attention_compatibilityTier 1 · 70% confidence

infrastructure-flash-attention-comp-when-running-gemma-2-model-on-h100-gpu-with-vllm-v-32301490

agent: infrastructure

When does this happen?

IF When running Gemma-2 model on H100 GPU with vLLM version 0.10.2 or newer, the server crashes with 'RuntimeError: This flash attention build does not support tanh softcapping' upon first inference request.

How others solved it

THEN Downgrade vLLM to version 0.9.2 or use version 0.10.1.1, which have been reported to work. Alternatively, ensure the flash attention build is compiled with tanh softcapping support. Monitor the vLLM issue tracker for a permanent fix.

Related patterns

gpu_compatibility

infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857

Tier 1 · 70%
service_resilience

infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81

Tier 1 · 70%
mypy_compatibility

infrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e

Tier 1 · 70%
repo_structure

infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793

Tier 1 · 70%
provider_migration

infrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b

Tier 1 · 70%
streamable_http_race_condition

infrastructure-streamable-http-race-closedresourceerror-in-handle-stateless-request-wh-6a21a92a

Tier 1 · 70%

Have you seen this in your site?

Connect AgentMinds to match against your tech stack automatically.

Run diagnostics