Mohammed Mohammed Ali

MohammedEltoum

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reacted to prithivMLmods's post with 👍 4 days ago

reacted to hanzla's post with 👍 4 days ago

Hi community, Few days back, I posted about my ongoing research on making reasoning mamba models and I found great insights from the community. Today, I am announcing an update to the model weights. With newer checkpoints, the Falcon3 Mamba R1 model now outperforms very large transformer based LLMs (including Gemini) for Formal Logic questions of MMLU. It scores 60% on formal logic which is considered a tough subset of questions in MMLU. I would highly appreciate your insights and suggestions on this new checkpoint. Model Repo: https://huggingface.co/hanzla/Falcon3-Mamba-R1-v0 Chat space: https://huggingface.co/spaces/hanzla/Falcon3MambaReasoner

upvoted a paper 5 days ago

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

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MohammedEltoum's activity

reacted to prithivMLmods's post with 👍 4 days ago

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2526

Dropping Downstream tasks using newly initialized parameters and weights ([classifier.bias & weights]) support domain-specific 𝗶𝗺𝗮𝗴𝗲 𝗰𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻. Based on siglip2-base-patch16-224 and DomainNet (single-domain, multi-source adaptation), with Fashion-MNIST & More for experimental testing. 🧤☄️

Fashion-Mnist : prithivMLmods/Fashion-Mnist-SigLIP2
Age-Classification : prithivMLmods/Age-Classification-SigLIP2
Mnist-Digits : prithivMLmods/Mnist-Digits-SigLIP2
Multisource-121 : prithivMLmods/Multisource-121-DomainNet
Painting-126 : prithivMLmods/Painting-126-DomainNet
Sketch-126 : prithivMLmods/Sketch-126-DomainNet
Clipart-126 : prithivMLmods/Clipart-126-DomainNet

Models are trained with different parameter settings for experimental purposes only, with the intent of further development. Refer to the model page below for instructions on running it with Transformers 🤗.

Collection : prithivMLmods/domainnet-0324-67e0e3c934c03cc40c6c8782

Citations : SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 & Moment Matching for Multi-Source Domain Adaptation : https://arxiv.org/pdf/1812.01754

reacted to hanzla's post with 👍 4 days ago

Post

1846

Hi community,

Few days back, I posted about my ongoing research on making reasoning mamba models and I found great insights from the community.

Today, I am announcing an update to the model weights. With newer checkpoints, the Falcon3 Mamba R1 model now outperforms very large transformer based LLMs (including Gemini) for Formal Logic questions of MMLU. It scores 60% on formal logic which is considered a tough subset of questions in MMLU.

I would highly appreciate your insights and suggestions on this new checkpoint.

Model Repo: hanzla/Falcon3-Mamba-R1-v0

Chat space: hanzla/Falcon3MambaReasoner

upvoted a paper 5 days ago

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published 8 days ago • 20

upvoted a paper 7 days ago

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

Paper • 2503.13358 • Published 12 days ago • 90

reacted to rizavelioglu's post with ❤️ 26 days ago

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3176

Comparing reconstruction quality of various VAEs with an interactive demo
rizavelioglu/vae-comparison

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liked a Space 30 days ago

The Essential AI Toolkit

🧰

A curated collection of AI tools for journalists & creators

upvoted a collection about 1 month ago

olmOCR

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olmOCR is a document recognition pipeline for efficiently converting documents into plain text. olmocr.allenai.org • 4 items • Updated 10 days ago • 102

reacted to openfree's post with ❤️ about 1 month ago

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7885

Datasets Convertor 🚀

openfree/Datasets-Convertor

Welcome to Datasets Convertor, the cutting-edge solution engineered for seamless and efficient data format conversion. Designed with both data professionals and enthusiasts in mind, our tool simplifies the transformation process between CSV, Parquet, and JSONL, XLS file formats, ensuring that your data is always in the right shape for your next analytical or development challenge. 💻✨

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