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]: kimi-k2 tool parser regex is off a tiny bit
- fix(tokenizer): skip reasoning_effort when None in Mistral tokenizer
- [Bug]: `limit_mm_per_prompt` is ineffective for Qwen3-VL
- Fixed issues
- fix: Add apply_with_spec_decode() method to LogitBiasLogitsProcessor
- Enable eagle3 for MiniMax M2
- [Feature]: Add Rotorquant support
- [Speculative Decoding] Add DFlash speculators config parsing
- [KVConnector]: Add kv_connector_class_name to resolve name conflict with built-in connectors
- [Bugfix] Preserve torch profiler summary output on CPU
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- Python not yet supported