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unmodeled-tyler
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https://unmodeledtyler.substack.com

AI & ML interests

AI research engineer & solo operator of VANTA Research

Recent Activity

replied to their post 2 days ago
Link to Repo: https://github.com/unmodeled-tyler/thought-tracer I had a great time at Mistral's Hackathon in SF over the weekend! There were a lot of incredibly talented builders there and it was an honor to be a part of it! 😄 I built Thought Tracer - a TUI-based logitlens application for Ministral 3B/8B with optional AI analysis from Mistral Large on the Mistral API. Thought Tracer allows you to see what the model "believes" at each layer until it arrives at it's final next token prediction. The Entropy tab displays entropy through each layer, additionally providing both token-level and prompt-level risk for hallucination. If you have a Mistral API key, the AI analysis section is actually pretty cool because it's returned in rendered markdown and easily understandable language - providing a commentary on how the model likely arrived at it's final prediction, and also offering diagnostics for model developers. This commentary actually makes the tool pretty beginner friendly to anyone interested in exploring AI research tools for the first time. Check it out if you're interested!
reacted to danielhanchen's post with 🔥 2 days ago
Qwen releases 4 new Qwen3.5 Small models: 0.8B • 2B • 4B • 9B! Run Qwen3.5-0.8B, 2B and 4B on your phone. Run 9B on 6GB RAM. The vision reasoning LLMs perform better than models 4x their size. GGUFs to run: https://huggingface.co/collections/unsloth/qwen35 Guide: https://unsloth.ai/docs/models/qwen3.5
reacted to their post with 🚀 3 days ago
Link to Repo: https://github.com/unmodeled-tyler/thought-tracer I had a great time at Mistral's Hackathon in SF over the weekend! There were a lot of incredibly talented builders there and it was an honor to be a part of it! 😄 I built Thought Tracer - a TUI-based logitlens application for Ministral 3B/8B with optional AI analysis from Mistral Large on the Mistral API. Thought Tracer allows you to see what the model "believes" at each layer until it arrives at it's final next token prediction. The Entropy tab displays entropy through each layer, additionally providing both token-level and prompt-level risk for hallucination. If you have a Mistral API key, the AI analysis section is actually pretty cool because it's returned in rendered markdown and easily understandable language - providing a commentary on how the model likely arrived at it's final prediction, and also offering diagnostics for model developers. This commentary actually makes the tool pretty beginner friendly to anyone interested in exploring AI research tools for the first time. Check it out if you're interested!
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Blog-explorers's profile picture VANTA Research's profile picture Mistral Hack-a-ton 2026's profile picture