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alkinun

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LLMs, Alignment, Merging, Unsloth, DPO, SFT, ORPO, SPIN..

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reacted to mkurman's post with ❤️ 4 days ago
Introducing a new architecture, MedIT One – a single-token transformer with LSTM-like recurrence. It is extremely fast in training and inference, but we lack funding for large-scale training. Enjoy 🍓 https://github.com/MedITSolutionsKurman/medit-one
reacted to Quazim0t0's post with 👍 4 days ago
Debugging Tags: Imagine, Associated Thoughts, Dialectical Analysis, Backwards Induction, Metacognition, and Normal Thought Processes such as <think> or <begin_of_thought> Edit: Uploaded new images w/ a Open WebUI function to organize the tags. Open WebUI Function: https://openwebui.com/f/quaz93/imagine_phi This Phi-4 model is part of a test project that I called Micro-Dose. My goal was to use a small dataset to activate reasoning and other cognitive processes without relying on a large dataset. I found that this was possible with a tiny dataset of just 90 rows, specifically designed as math problems. In the initial iterations, the dataset only activated reasoning when a math-related question was asked. I then made a few changes to the dataset’s structure, including the order of information and the naming of tags. You can see the sample results in the pictures. Not really anything special, just thought I'd share. Tweaked the dataset a bit: https://huggingface.co/Quazim0t0/Imagine-Phi-v0.2-GGUF https://huggingface.co/datasets/Quazim0t0/MicroDoseV0.2 First image shows the new tags, second shows the regular thought process and the third is the model in combination with web searches  
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