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
- [Bug] DeepSeekV4-Flash produces incorrect output with inline system messages after PR #46025 when `preserved in-place`
- [HelionLinearBackend][3/N] Add HelionFP8ScaledMMLinearKernel
- [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…
- [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).
- [RFC]: KVarN: a calibration-free, variance-normalized sub-8-bit KV-cache quantization backend
- [Doc]: vLLM 0.23.0 + Qwen3-VL-8B-Instruct-FP8 on RTX 5080 (Blackwell) - Engine initializes but generate() hangs silently
- Docs
- Python not yet supported