Training Agents Class 2 (distillation): script, pi-mono-chat dataset, distilled Qwen3 checkpoints, and the 2 Trackio dashboards.
Sergio Paniego PRO
sergiopaniego
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updated a dataset about 7 hours ago
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In-depth technical articles and research pieces published by Hugging Face
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The Ultra-Scale Playbook
🌌3.95kThe ultimate guide to training LLM on large GPU Clusters
-
The Smol Training Playbook
📚3.25kThe secrets to building world-class LLMs
-
Evaluation Guidebook
📝340Explore LLM benchmark scores over time
-
FineVision: Open Data is All You Need
📝232A new open-source dataset for training VLMs
Vision Spaces created by me
Spaces where I've collaborated or that I consider unique!
Blog: https://huggingface.co/blog/sergiopaniego/bringing-carla-to-openenv-trl/
Spaces to compare vision models — there’s no single best model, only the best one for your specific use case.
This collection includes all the models, datasets and Spaces mentioned in the blog Vision Language Models: 2025 Update
Training Agents Class 2 (distillation): script, pi-mono-chat dataset, distilled Qwen3 checkpoints, and the 2 Trackio dashboards.
Blog: https://huggingface.co/blog/sergiopaniego/bringing-carla-to-openenv-trl/
In-depth technical articles and research pieces published by Hugging Face
-
The Ultra-Scale Playbook
🌌3.95kThe ultimate guide to training LLM on large GPU Clusters
-
The Smol Training Playbook
📚3.25kThe secrets to building world-class LLMs
-
Evaluation Guidebook
📝340Explore LLM benchmark scores over time
-
FineVision: Open Data is All You Need
📝232A new open-source dataset for training VLMs
Vision Spaces created by me
Spaces to compare vision models — there’s no single best model, only the best one for your specific use case.
Spaces where I've collaborated or that I consider unique!
This collection includes all the models, datasets and Spaces mentioned in the blog Vision Language Models: 2025 Update