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
- [Bugfix][Model] Kimi K3: pad the MoE intermediate by the effective shard count, on both backends
- [Bug]: Kimi-K3 PP>1 with IndexError: index_fill_(): Expected dtype int64 for index
- [Bug]: System crash: Rust panic loading a tiktoken vocab file with duplicate ranks
- [Bug]: Qwen 3.* models go into doom loop if you use strict mode with tools without arguments.
- [Rocm] Fix LMcache support issues for the kimik3-dspark model
- [Bug]: int8_per_token_head KV with prefix caching DISABLED corrupts the FIRST generated tokens (Gemma-4 hybrid, Triton, idle KV pool)
- [Bug]: Responses API Returns Raw Malformed Kimi Tool Marker as Assistant Text Instead of function_call
- [Bug]: NVFP4 MoE falls back to Marlin on sm_121 (GB10) in published builds, making the model unservable on a unified 121 GiB pool
- [Bugfix] Resolve $ref/$defs in tool schemas and preserve definitions
- perf: skip re-validating reused sampling params in streaming input loop
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- Python not yet supported