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Building on HF
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Tyler Williams
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unmodeled-tyler
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https://unmodeledtyler.substack.com
unmodeledtyler
unmodeled-tyler
unmodeledtyler
AI & ML interests
AI research engineer & solo operator of VANTA Research
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What happens when you make an LLM drive a car where physics are real and actions can't be undone? I ported CARLA, the autonomous driving simulator, to OpenEnv and added training support via TRL + Hugging Face Spaces. The model interacts with the simulator through tool calls (observe, brake, change lane) and learns from a reward signal. In 50 training steps, Qwen 0.6B learns to swerve and brake to avoid pedestrians in emergency situations. The project supports text and vision (VLMs can see through a camera sensor), open-world driving with traffic, and multiple driving scenarios. This builds on the carla-env project by sinatras, which originally placed LLMs inside CARLA for evaluation. We extended it with vision, new scenarios, rubric-based rewards, and made it trainable end-to-end. Blog: https://huggingface.co/blog/sergiopaniego/bringing-carla-to-openenv-trl/ CARLA env in OpenEnv: https://github.com/meta-pytorch/OpenEnv/tree/main/envs/carla_env Training script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/carla.py
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nyuuzyou
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about 13 hours ago
๐ Street-Level Imagery Dataset https://huggingface.co/datasets/nyuuzyou/streetview 934,191 image records index Eastern Europe and Northern Asia. Temporal links map historical views at identical coordinates across nine years. Key Stats: - 905,940 unique images - Coverage spanning 2016 to 2025 - Average 14.3 historical links per location Geographic bounds span 20.49ยฐ E to 152.32ยฐ E. Urban centers show higher data density.
updated
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about 15 hours ago
vanta-research/PE-Type-4-Solene-4B
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unmodeled-tyler/vanta-research-unit-001
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Jan 21
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unmodeled-tyler/atom-micro-1-lab
Text Generation
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0.6B
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Jan 21
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