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
- [Bug]: [load failure] request could not finish when load failure happens
- Fix (Benchmark): Prevent Credential Exposure and Sensitive Data Leakage
- [BugFix] Reset num_output_placeholders on KV load failure recomputation
- [Rust Frontend][RFC]: Elastic Expert Parallel support
- [Bug]: cupy-cuda13x installed instead of cupy-cuda12x in CUDA 12.9 Docker image
- [Bugfix] Validate model_loader_extra_config values in DefaultModelLoader
- [ROCm] Fix AMD build from shuffle mask dtype error while compiling `silu_and_mul_per_block_quant_kernel`
- fix: [Bug]: Wrong timestamps if audio > 30s
- fix(multimodal): support gemma4 QAT configs by adding safe num_soft_t…
- [Bug]: [Anthropic] `cache_creation_input_tokens` and `cache_read_input_tokens` missing from `/v1/messages` usage response
- Docs
- Python not yet supported