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]: When using the V4 parser in vLLM to parse outputs from DeepSeek V4.1 Flash, the leading extra space in V4.1 DSML tags breaks state machine matching and parameter regex, filters arg deltas, and prevents streaming return of tool call arguments.
- [Frontend][Rust][Multimodal] Add Gemma 4 image support / multimodal model spec
- [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
- Docs
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