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
- [Bugfix][Core] Fix request-bound KV cache sizing
- [Bug]: Llama-4-Scout-FP8 tool calls left in content (not parsed into tool_calls) — pythonic parser vs JSON output mismatch, breaks Claude Code
- [XPU] Low-latency all-to-all Expert-Parallellism backend for batched MoE
- Title: [BugFix] Rebuild InputBatch when max_model_len is auto-reduced
- [WideEP] Remove DeepEP high-throughput backend, redirect to DeepEP v2
- [Fix] get_num_blocks_to_allocate provides wrong block count while external cache hit
- [KV Connector][Hybrid] Enable GDN all-mode Mamba prefix caching with Mooncake Store retention
- [MoE] [MoE Refactor] Migrate int8 w4a8int8 oracle 37753
- [KVConnector] Decouple store retention from HBM retention
- [CPU][Bugfix] Build cpu_fused_moe on Apple Silicon
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