Liquid AI出了个2.6B的小模型，能在端侧跑智能体，带128K上下文和工具调用，占不到2.5GB内存，速度还很快。
Liquid AI发布LFM2.5-2.6B，一个2.69B参数的端侧代理模型。它支持131,072 tokens上下文和工具调用，可在设备上独立完成多步任务。该模型在M5 Max上解码速度达220 tokens/s，内存占用低于2.5GB。开放权重提供GGUF、MLX和ONNX格式。
Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights
Liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device. The 2.69B parameter model pairs 22 double-gated short convolution blocks with 8 GQA blocks across 30 layers, handles 131,072 tokens of context, and decodes at 220 tokens/s on an M5 Max in under 2.5 GB. Open weights ship in GGUF, MLX, and ONNX. The post Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights appeared first on MarkTechPost .
- IT之家08-05 05:54原文