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
- [Refactor] Extract _bucket_layers_by_page_size from DSV4 KV cache config
- [Bugfix] Fix DeepSeek-V4 init errors for compressed tensors
- Lwilkinson/kv layout/kv content pack
- KV events: BlockStored token_ids can span skipped Mamba align blocks while block_hashes omit them
- [Kernel][MoE] Delegate finalize output-buffer allocation to prepare_finalize
- [Experiment][Model Runner V2][Spec Decode] sharded rejection sampling
- [Bug]: [0.22.0] When using Hidden State Extraction, if enable-prefix-caching is turned on, the length of hidden_states obtained will be inconsistent with the length of token_ids.
- [Bug]: mistral w4a16 Quantization slower than FP16
- [Bug]: mooncake+PD混部,高并发preempt,偶发服务宕机,ValueError: Counters can only be incremented by non-negative amounts
- [Profiler] Support multiple profiling windows
- Docs
- Python not yet supported