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]: vLLM crashes when using --enable-sleep-mode with Blackwell PRO 6000 GPUs
- [RFC]: Support KV Cache sparse with common framework
- [Feature]: serve gpt-oss BF16 weights
- [Bug]: Voxtral-Small-24B-2507 Does Not Support Pipeline-Parallel
- [Bug]: Devstral-Small-2507 tool parsing issue when streaming
- [Bugfix] fix is_usage_stats_enabled when disable it
- [Feature]: Support `Phi4Flash` model in V1
- [Usage]: vllm+ray launches extra jobs on existing cluster, and not just actors
- [Bug]: Kimi-K2 tool parser may incorrectly parse multiple tool calls
- [Bug]: GPT-OSS Responses API: Incomplete Output When Using Function-Call
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- Python not yet supported