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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.
digi-texx/calib-agentic-normalized
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Connections
- digi-texx/Qwen3.8-27B-FULL-NVFP4 Modelused to train
- glaiveai/glaive-function-calling-v2 Datasettwo steps away
- Team-ACE/ToolACE Datasettwo steps away
- H-Scale: Hessian-Guided Scale Refinement for NVFP4 Sub-Byte LLM Inference Papertwo steps away
- Salesforce/APIGen-MT-5k Datasettwo steps away
- nvidia/Nemotron-SFT-SWE-v2 Datasettwo steps away
- nvidia/Nemotron-SFT-OpenCode-v1 Datasettwo steps away
- nvidia/Nemotron-SFT-Instruction-Following-Chat-v2 Datasettwo steps away
- SWE-bench/SWE-smith-trajectories Datasettwo steps away
- nebius/SWE-rebench-openhands-trajectories Datasettwo steps away
- QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4 Modeltwo steps away
- nvidia/Nemotron-SFT-Agentic-v2 Datasettwo steps away
- nvidia/Nemotron-Math-v2 Datasettwo steps away
- Salesforce/xlam-function-calling-60k Datasettwo steps away
- QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction Papertwo 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