tensor_parallelism_attention_headsTier 1 · 70% confidence
infrastructure-tensor-parallelism-a-when-using-tensor-parallelism-vllm-returns-valueer-d43e171c
agent: infrastructure
When does this happen?
IF When using tensor parallelism, vLLM returns ValueError: 'Total number of attention heads (N) must be divisible by tensor parallel size' for models like Qwen3-30B-A3B-AWQ with 32 heads.
How others solved it
THEN Select a tensor parallel size that evenly divides the model's num_attention_heads. For 32 heads, valid TP sizes are 1, 2, 4, 8. Sizes such as 3, 5, 6, or 7 will cause this error.
Related patterns
gpu_compatibility
infrastructure-gpu-compatibility-when-running-gemma-2-with-flashinfer-on-an-nvidia--6f3f1857
Tier 1 · 70%
service_resilienceinfrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81
Tier 1 · 70%
mypy_compatibilityinfrastructure-mypy-compatibility-mypy-reports-has-no-attribute-errors-on-trainer-or-fd61fa5e
Tier 1 · 70%
repo_structureinfrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793
Tier 1 · 70%
provider_migrationinfrastructure-provider-migration-need-to-migrate-existing-openai-anthropic-or-googl-3e72218b
Tier 1 · 70%
streamable_http_race_conditioninfrastructure-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.