GGUF Q4_K_M quantizations of SLM-SQL models for text-to-SQL with llama.cpp. Based on: https://arxiv.org/abs/2507.22478
Juan Francisco Lebrero
frizynn
AI & ML interests
Machine & Deep Learning
Organizations
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Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 52 -
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Paper • 2507.07955 • Published • 27 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 82 -
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 138
GGUF Q4_K_M quantizations of SLM-SQL models for text-to-SQL with llama.cpp. Based on: https://arxiv.org/abs/2507.22478
-
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 52 -
Dynamic Chunking for End-to-End Hierarchical Sequence Modeling
Paper • 2507.07955 • Published • 27 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 82 -
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 138