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
- [ROCm/MI325X] DeepSeek-V4-Flash: NotImplementedError: mul_cuda not implemented for Float8_e8m0fnu in normalize_e4m3fn_to_e4m3fnuz
- [ROCm] DeepSeek-V4-Flash: rocm_dequantize_blocked_k_cache materializes entire KV cache pool causing OOM during decode
- [Bug]: FlashInfer GDN JIT Compilation Causes Multi-Worker Deadlock
- [ROCm] Enable persistent mla for sparse mla backend
- [Model][DeepSeekV4] Use FlashMLA KV-cache path for prefill
- [Perf][Refactor] Port W16A16 Linear Kernels to Kernel Abstraction
- Hoist DCP scratch tensors to top-level allocation
- [Bugfix] Enable BitsAndBytes support for Mamba-2
- [vLLM IR] port activation ops (fatrelu_and_mul, relu2, gelu_and_mul_sparse, swigluoai_and_mul)
- [Bugfix] Fix collect_env.py crash on non-Linux platforms due to unconditional assert
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