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翻訳待ち:LFM2.5-2.6B: On-Device Agents

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:← 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…

ソースHacker News AI著者: achrono

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

← 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