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
- [Render][1/n] Paged shared memory storage for mm tensor ipc.
- [sharded state] enhance validation check about output arguments
- [Kimi K3][Structured Output] Fix `tool_open` special token leakage into response text content
- [Bugfix][NIXL] Allow heterogeneous non-MLA KV region sizes
- [Bugfix] glm47 tool parser: tolerate missing opening <arg_value> tag
- [Kernel] Use Murmur3 RNG for Gumbel sampling
- [Bugfix][GDN] Fall back to recurrent prefill for float32 inputs
- [v1][kv-transfer] Prioritize remote KV polling in scheduler
- [CPU] Restore linear dispatch for small unquantized GEMMs
- [Bug]: MooncakeStoreConnector produces N× write amplification under DCP for MLA models
- Docs
- Python not yet supported