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unmodeled-tyler

https://unmodeledtyler.com

AI & ML interests

research engineer

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updated a collection 18 minutes ago

Current Open Source Daily Driver

reacted to IlyasMoutawwakil's post with 🔥 24 minutes ago

After 2 months of refinement, I'm happy to announce that a lot of Transformers' modeling code is now significantly more torch-compile & export-friendly 🔥 Why it had to be done 👇 PyTorch's Dynamo compiler is increasingly becoming the default interoperability layer for ML systems. Anything that relies on torch.export or torch.compile, from model optimization to cross-framework integrations, benefits directly when models can be captured as a single dynamo-traced graph ! Transformers models are now easier to: ⚙️ Compile end-to-end with torch.compile backends 📦 Export reliably via torch.export and torch.onnx.export 🚀 Deploy to ONNX / ONNX Runtime, Intel Corporation's OpenVINO, NVIDIA AutoDeploy (TRT-LLM), AMD's Quark, Meta's Executorch and more hardware-specific runtimes. This work aims at unblocking entire TorchDynamo-based toolchains that rely on exporting Transformers across runtimes and accelerators. We are doubling down on Transformers commitment to be a first-class citizen of the PyTorch ecosystem, more exportable, more optimizable, and easier to deploy everywhere. There are definitely some edge-cases that we still haven't addressed so don't hesitate to try compiling / exporting your favorite transformers and to open issues / PRs. PR in the comments ! More updates coming coming soon !

reacted to Ujjwal-Tyagi's post with 🔥 25 minutes ago

There is a new open-source music generation model called HeartMuLa. It offers strong, competitive performance compared to Suno and supports English, Chinese, Japanese, Korean, and Spanish. It is optimized to run easily on RTX GPUs and other consumer-grade hardware. https://huggingface.co/HeartMuLa/HeartMuLa-oss-3B https://github.com/HeartMuLa/heartlib

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NEW MODEL: vanta-research/mox-small-1

Mox-Small-1 has landed on the Hub!

Finetuned from the fantastic Olmo3.1 32B architecture by AllenAI, Mox-Small-1 was trained using the same datasets and methodology as Mox-Tiny-1, making this model our second addition to the Mox-1 family of models.

Mox-1 is designed to prioritize clarity, honesty, and genuine utility over blind agreement. These models are perfect for when you want to be challenged in a constructive, helpful way.

By utilizing Olmo3.1 32B's architecture, Mox-Small-1 brings greater conversational depth and reasoning quality to the Mox-1 model family. Check it out!

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