
Worked on browser-ready deployment and multilingual text-to-speech features across the tobi/qmd and Blaizzy/mlx-audio repositories. Developed an ONNX conversion script in Python for tobi/qmd, enabling Transformer.js browser deployment with quantization options and robust export for large models, including validation and input feed fixes. Enhanced the quantization workflow and updated documentation to align with deployment capabilities. For Blaizzy/mlx-audio, delivered comprehensive documentation for Svara TTS, detailing multilingual support for 19 Indian languages and clarifying integration with existing loader architecture. Focused on Python scripting, model optimization, and clear documentation to improve accessibility, user onboarding, and support efficiency for both projects.
April 2026 monthly summary for Blaizzy/mlx-audio: Delivered Svara TTS documentation and a navigation entry to improve discoverability of the multilingual TTS capabilities (19 Indian languages). Clarified integration with the existing loader architecture (model_type=llama) to show that no new model code was required. Provided guidance on accessing pre-converted MLX weights (mlx-community/svara-tts-v1{,-4bit,-8bit}) to enable quick experimentation. No code changes were needed this month. This work reduces support burden, accelerates adoption for users and developers, and enhances accessibility.
April 2026 monthly summary for Blaizzy/mlx-audio: Delivered Svara TTS documentation and a navigation entry to improve discoverability of the multilingual TTS capabilities (19 Indian languages). Clarified integration with the existing loader architecture (model_type=llama) to show that no new model code was required. Provided guidance on accessing pre-converted MLX weights (mlx-community/svara-tts-v1{,-4bit,-8bit}) to enable quick experimentation. No code changes were needed this month. This work reduces support burden, accelerates adoption for users and developers, and enhances accessibility.
March 2026 monthly summary for tobi/qmd focusing on browser deployment readiness, large-model export robustness, and quantization workflow improvements. Highlights include the ONNX conversion script for Transformer.js deployment with quantization options; hardening ONNX export for large models (2GB limit) with input feed fixes and validation; quantization workflow enhancements and updated docs; and complementary documentation updates to align with deployment capabilities.
March 2026 monthly summary for tobi/qmd focusing on browser deployment readiness, large-model export robustness, and quantization workflow improvements. Highlights include the ONNX conversion script for Transformer.js deployment with quantization options; hardening ONNX export for large models (2GB limit) with input feed fixes and validation; quantization workflow enhancements and updated docs; and complementary documentation updates to align with deployment capabilities.

Overview of all repositories you've contributed to across your timeline