| Source | Latest linked headline | Age |
|---|---|---|
| MarkTechPost | LIQUID AI RELEASES LFM2.5-2.6B: AN ON-DEVICE AGENTIC MODEL WITH 128K CONTEXT, TOOL CALLING, AND OPEN WEIGHTS | 1 hr ago |
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.
MarkTechPost reports that liquid AI released LFM2.5-2.6B, an agentic model that plans, calls tools, and completes multi-step tasks entirely on-device.
The report adds: 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.
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