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
- [CI Flaky test]: Flaky batch invariant test with FLEX_ATTENTION
- [Frontend][KV Connector] Plumb request session id to Mooncake worker
- [Bugfix] Lazy-grow InputBatch token_ids_cpu / is_token_ids buffers
- [Feature]: Support for the OpenAI input_file content part
- [Bug]: MiniMax-M3 INT4 (auto-round / GPTQ-pack) deployment hits 2 quantization-with-ignore-list bugs
- [Model] Force MistralForCausalLM architecture for Mistral3 language m…
- (security) fix: enforce decoder prompt-length validation for skip-che…
- [Bug]: Segfault encountered in qwen3.5-27B long video (>2G)inference
- Feat/invariant with prefix cache
- [Bug]: No available shared memory broadcast block found in 60 seconds. This typically happens when some processes are hanging or doing some time-consuming work (e.g. compilation, weight/kv cache quantization).
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- Python not yet supported