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 0.17.0 failed to serve Qwen3-30B-A3B-Instruct-2507 after adding `--enable_lora`
- [Bug]: CUBLAS_STATUS_INVALID_VALUE on Qwen3.5-122B-A10B-FP8 during profile run
- [Bug]: TP=2 DP=2 Broken for Qwen3-Next W4A16
- [Test] Add basic unittests for `split_graph`
- [AMD] fix to run MLA with kv cache dtype = fp8
- [Bug]: Validation Error: block_size (2096) > max_num_batched_tokens (2048) when enabling prefix caching for Qwen3.5 Mamba architecture
- [Core] Remove FlashAttention block size restriction for hybrid models
- [Doc] Fix typos in comments: i.e./e.g. punctuation and "archive" -> "achieve"
- [Doc] Fix grammatically incorrect error message in gpu_worker and xpu_worker
- [Usage]: When running qwen3.5-27b with vllm 0.17.0, the Deep Thinking output is under "reasoning" and not under "reasoning_content".
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