RT by @huggingface: Today we release LFM2.5-2.6B, an agentic model that runs entirely on-device. It…
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Merged summary
TL;DR - LFM2.5-2.6B is a newly released open-weight agentic model designed to plan, call tools, and complete multi-step tasks entirely on-device. It targets private, low-cost deployment across phones, computers, and robots.
- Uses a hybrid architecture, 128K-token context window, and 128K vocabulary.
- Pre-trained on approximately 34 trillion tokens and customizable on a single GPU.
- Reportedly scores 77.83 on ToolSandbox, 80.07 on Multi-IF, and 85.49 on IFStruct.
- Claims comparable or better results than models nearly four times larger.
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RT by @huggingface: Today we release LFM2.5-2.6B, an agentic model that runs entirely on-device. It…
Public signals
N/A
TL;DR - LFM2.5-2.6B is a newly released open-weight agentic model designed to plan, call tools, and complete multi-step tasks entirely on-device. It targets private, low-cost deployment across phones, computers, and robots.
- Uses a hybrid architecture, 128K-token context window, and 128K vocabulary.
- Pre-trained on approximately 34 trillion tokens and customizable on a single GPU.
- Reportedly scores 77.83 on ToolSandbox, 80.07 on Multi-IF, and 85.49 on IFStruct.
- Claims comparable or better results than models nearly four times larger.