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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.
Mike087/Language2Drive
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Connections
- Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation Papercites
- UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving Papercites
- Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving Papercites
- DriveMA: Driving Vision-Language-Action Models with verifiable Meta-Actions Papercites
- Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving Papercites
- zwc2003/DriveMA-2B Modeltwo steps away
- drivetechodyssey/Qwen-Drive-1.0-4B-VLM-mlx-8bit Modeltwo steps away
- Qwen/Qwen-Drive-1.0-4B Modeltwo steps away
- Efficient-Large-Model/Fast-dDrive Modeltwo steps away
- Hob-forge/Qwen-Drive-1.0-4B-GGUF Modeltwo steps away
- EvoAwaken-Workshop/Qwen-Drive-1.0-4B-gguf Modeltwo steps away
- timm/qwen3_vit_306m.qwen_drive_1_0_4b 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