Phocinae has released Phocinae-Largha-150M-v1, a 144.3 million parameter model designed for structured decision-making within AI agents. This model aims to reduce costs by handling repetitive tasks locally, such as command approvals and tool selection, instead of relying on external LLM API calls. It offers fast inference times on consumer hardware like the RTX 5090, significantly outperforming API round-trip latency. AI
IMPACT This model could significantly reduce operational costs for AI agents by enabling local, low-latency decision-making for repetitive tasks.
RANK_REASON Model release from a lab (Phocinae) with detailed technical specifications and benchmarks. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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- Phocinae/Phocinae-Largha-150M-v1
- RTX 5090
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