CoLT5-attention vs SGLang
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| Field | C CoLT5-attentionImplementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch | S SGLangFast model serving with KV-cache reuse for agent and reasoning workloads. |
|---|---|---|
| Fit. | ||
| Platforms· | Linux | Linux, macOS, Windows, 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, LLM gateway |
| Activity. | ||
| Stars· | 231 | 36k |
| Last commit· | Aug 14, 2026 | Sep 11, 2026 |
| Last release | — | — |
| Links | ProjectGitHubGuide | ProjectGitHubGuide |