vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Doc] Fix stale ModelOpt test instructions in modelopt.md
- [Doc] Add NemotronHPuzzleForCausalLM to supported_models.md
- [Bugfix] Handle malformed DeepSeek V3 tool calls
- [Bug] Fix KV connector throughput metric under concurrent transfers
- [Model] Apertus 1.5 multimodality
- [Bugfix] Gemma4: don't crash when a KV-shared layer has no same-type target
- [Frontend] Add offline prefix-cache workload analyzer CLI
- [Bug]: prompt_logprobs argmax disagrees with greedy decode for sequences ≥256 tokens — num_tokens-dependent block size in RMSNorm kernels defeats VLLM_BATCH_INVARIANT
- [Bug][Anthropic] stop_sequence never populated + unguarded json.loads crash in messages_full_converter
- [Bug][Responses API] Zero-delta streaming items skip added/in_progress lifecycle events
- Docs
- Python not yet supported