Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs
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Connections
- penkia/TernaryQuench-Qwen3.8-27B-GGUF Modelcited by
- penkia/TernaryQuench-Qwen3.8-27B-MLX Modelcited by
- Attend to Your Own Thoughts: Breaking the Barrier for Post-Training Quantization of Reasoning LLMs through the Lens of 1.58-Bit Quantization Papertwo steps away
- Qwen/Qwen3.8-27B Modeltwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models