Liquid 🤝❤️ @sgl_project
Liquid AI's LFM2.5-24B-A2B gets Day-0 support in SGLang
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SGLang adds Day-0 support for Liquid AI's LFM2.5-24B-A2B, a 24B MoE reasoning model with a 131K context window. The model scores 48.09 on LiveClaw and 27.69 on AutomationBench, versus 38.19 and 8.72 for Qwen3.6-35B-A3B. It reaches up to 21K output tokens per second on a single NVIDIA B300.
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SGLang has Day-0 support for LFM2.5-24B-A2B from @liquidai A 24B MoE reasoning model with a 131K context window. Built for fast, private agents on-device. ✅ Competitive with Qwen3.6-35B-A3B on agentic and tool-use tasks: 48.09 vs 38.19 on LiveClaw, 27.69 vs 8.72 on AutomationBench ✅ Up to 21K output tok/s on a single NVIDIA B300 Get started with SGLang:
Source: Liquid AI · x.comPublished · added here