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NotebookMLX

English | 简体中文

meta-llama/NotebookLlama

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. Outline.jpg

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

_podcast.mp4

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