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
- [Hybrid GDN] Explicit --block-size misaligned with mamba page makes SimpleCPU KV offload silently write-only; startup should reject or warn
- [Bug]: Rust frontend: top_logprobs repeats the sampled token; prompt + max_tokens over max_model_len silently accepted
- [Bugfix] Join Anthropic system blocks with a separator instead of ""
- [Perf][Frontend] Linearize GLM tool-result rendering
- [Bug]: Dynamic SD (num_speculative_tokens_per_batch_size) + MTP on V2 runner crashes with ZeroDivisionError in SpeculatorCudaGraphManager._init_candidates
- [RFC]: Shared JSON Schema structure for structured-output checks and transformations
- [Bugfix] Mark tool_result is_error in Anthropic converter
- [Docs] Document DP-aware routing with vLLM Router in the DP deployment guide
- [Platform] Add supports_v2_model_runner capability for out-of-tree platforms
- [Core][Logging] Add log_color and log_stream to LoggingConfig
- Docs
- Python not yet supported