q-transformer vs vLLM
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| Field | Q q-transformerImplementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind | V vLLMHigh-throughput model server for GPU inference. |
|---|---|---|
| Fit. | ||
| Platforms· | Linux | Linux, Docker |
| Docker· | No | Yes |
| Commercial | yes | yes |
| Catalog. | ||
| Category | LLM infrastructure | LLM infrastructure |
| License· | MIT | Apache 2.0 |
| Language | Python | Python |
| Jobs· | llm infra, artificial intelligence, attention mechanisms | model serving, OpenAI-compatible GPU server |
| Activity. | ||
| Stars· | 406 | 58k |
| Last commit· | Aug 11, 2026 | Sep 7, 2026 |
| Last release· | — | Sep 1, 2026 |
| Links | ProjectGitHubGuide | ProjectGitHubGuide |