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
- [RFC]: Fault-Tolerant Expert parallelism phase 2 (recovery)
- [Bug]: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
- [Usage]: Error: Failed to initialize the TMA descriptor 700
- [RFC]: Pin all dependencies
- Alternative way to obtain GPU inventory. // .buildkite/test-amd.yaml:L589
- [Bug]: ROCm and AITER ValueError: Unsupported attention metadata type for speculative decoding with num_speculative_tokens > 1
- [BugFix][27485] Fix ITL algorithm for chunked OpenAI chat completions
- [Bug]: Vllm loading gptq quantization of int8 accuracy Qwen3-Next-80b-A3B model error KeyError: 'layers.0.mlp.experts.w2_weight'
- [core] Request wait outside the core.
- [Bugfix] Add explicit cuBLAS linking to _C extension
- Docs
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