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Hugging Face
AI Model·2026
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LFM3-1.7B-GGUF

Liquid AI

Runs LFM3-1.7B locally on CPUs and GPUs using the GGUF format. Multiple quantizations are available, including a Q4_0 checkpoint trained to recover accuracy lost during quantization.

#gguf#quantization#LLM#llama.cpp#ai-inference+1
Large Language Model Papers·2026
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TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving

Shuhuai Li, Shengdong Ye +3·Shanghai Jiao Tong University, Stanford University

Jointly decides when waiting agent sessions should run on GPUs and which node should serve them. Scheduling accounts for tool-return readiness, time-decaying node cache value, and token demand.

#paper#LLM#ai-agent#ai-serving#ai-inference+3
Machine Learning Engineering Papers·2026
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Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems

Pengfei Zhou, Yixing Ma +5

Studies how to route tasks to suitable models or policies across general-purpose AI systems while balancing quality and compute cost. Evaluations across 25 benchmarks and over 374,000 runs quantify the resulting capability and efficiency gains.

#paper#routing#multimodal#benchmark#evaluation+1
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