Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning
Abstract page for arXiv paper 2608.13596: Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning
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Abstract page for arXiv paper 2608.13596: Training-Free Knowledge Transfer Across Model Scales through Activation-Guided Pruning
Abstract page for arXiv paper 2608.13566: Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required
Abstract page for arXiv paper 2608.13598: Measuring Cross-Task Behavioral Consistency in Language Model Agents
Abstract page for arXiv paper 2608.13574: Agentao: A Governed Local-First Runtime for Tool-Using LLM Agents
Abstract page for arXiv paper 2608.13573: A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing
Abstract page for arXiv paper 2608.13565: Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking
Abstract page for arXiv paper 2608.13564: Inducing Reward-Free Judging Rubrics that Reduce Over-Crediting in Agent Evaluation
Friday’s big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab. I’ve been looking forward to this one: 27B is an …
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.