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
- [CI/Build] Re-enable registry tests for 3 now-public model checkpoints
- [Bug]: DSpark/DFlash speculative decoding fails to load with --kv-cache-dtype fp8_ds_mla: draft inherits an MLA-only cache layout
- [chore] remove kernel_block_sizes duplicate check in get_preferred_block_size
- [Usage]: Unevenly allocate gpu memory
- [Spec Decode] DFlash/DSpark draft support under decode context parallelism
- [Bug]: ~11% long-prefill regression v0.24.0 -> v0.25.x on SM120, traced to the FlashInfer 0.6.13 bump (#46683)
- [Bug]: Prefix caching silently inert on hybrid Mamba2 models when max_model_len < auto-selected block size
- [Bugfix] Warn when prefix caching is inert on hybrid models (block_size > max_model_len)
- [KV Connector] Add per-layer canonical KV page mappings for parallelism-agnostic offload
- [KV Connector] Canonical CPU layout for parallelism-agnostic KV offload
- Docs
- Python not yet supported