NotebookMLX
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I ported NotebookLlama and implemented it with MLX 🔥
It uses mlx-community/Qwen2.5-1.5B-Instruct-bf16 for pre-processing the PDF, mlx-community/Qwen2.5-14B-Instruct-4bit for creating transcripts, mlx-community/Qwen2.5-7B-Instruct-4bit for rewrites, and lucasnewman/f5-tts-mlx for Text-to-Speech ⚡
Citing the NotebookLlama outline.
Step 1: Pre-process PDF: Use mlx-community/Qwen2.5-1.5B-Instruct-bf16 to pre-process the PDF and save it in a .txt file.
Step 2: Transcript Writer: Use mlx-community/Qwen2.5-14B-Instruct-4bit to write a podcast transcript from the text.
Step 3: Dramatic Re-Writer: Use the mlx-community/Qwen2.5-7B-Instruct-4bit model to make the transcript more dramatic.
Step 4: Text-To-Speech Workflow: Use lucasnewman/f5-tts-mlx to generate a conversational podcast.
The podcast audio
https://github.com/user-attachments/assets/c7cf2d2f-766f-4026-8442-c584f6a32292