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] Fix int32 address overflow in DeepGEMM ep_gather Triton kernel
- [Model] Add EAGLE-3 support for SeedOssForCausalLM
- [Bug]: glm-5.2-fp8 with --kvcache-dtype fp8 with h20-3e error
- [Bugfix] Fix xgrammar feature gate bypass when JSON Schema type is a list
- [Bugfix][LoRA] Skip no-LoRA tokens (index -1) in CPU torch bgmv ops
- [Bugfix][Quantization] Run block kernel post-processing for ModelOpt FP8_PB_WO
- [CI/Build] Regression test: CPU MoE activation table must not require a config context
- [Bug/Perf]: hybrid-SWA prefix caching collapses to zero for ALL requests in multi-session round-robin at ~25% pool occupancy (Gemma-4-31B; eager-freed SWA tails recycled tail-first)
- [RFC]: Support SparDA-style decoupled Forecast projection for lookahead KV prefetch in sparse attention
- [Bug]: MiniCPM-V-4.6 fails to load on vLLM 0.25.0 — ValueError: There is no module or parameter named 'qkqkv_proj' in MiniCPMV4_6ViTWindowAttentionSelfAttn
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