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待翻譯:LFM2.5-2.6B: On-Device Agents

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AI 服務暫時不可用,以下為來源摘要,待恢復後補全翻譯:← Back to Text Models LFM2.5-2.6B is Liquid AI’s 2.6B dense model built for agentic workloads with a 128K context window and native tool calling. It runs on edge devices and it is trained to work reliably inside agent h…

來源Hacker News AI作者: achrono
待翻譯:LFM2.5-2.6B: On-Device Agents
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AI 服務暫時不可用,以下為來源正文,待恢復後補全翻譯。

← Back to Text Models LFM2.5-2.6B is Liquid AI’s 2.6B dense model built for agentic workloads with a 128K context window and native tool calling. It runs on edge devices and it is trained to work reliably inside agent harnesses like Hermes Agent, OpenClaw, and Pi. HFGGUFMLXONNX ​ Specifications PropertyValue Parameters2.6B Context Length128K tokens ArchitectureLFM2.5 (dense) Agentic & Tool Use Native tool calling, trained inside real agent harnesses 128K Context Long context for tool traces and multi-step workflows On-device Small enough to run on a laptop or phone ​ Quick Start Transformers llama.cpp vLLM SGLang Was this page helpful? Suggest editsRaise issue ⌘I

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工程師中級

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  • AI 服務暫時不可用,系統已先保留來源內容與降級後設資料。
  • ← Back to Text Models LFM2.5-2.6B is Liquid AI’s 2.6B dense model built for agentic workloads with a 128K context window and native tool calling. It runs on edge devices and it is…

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