NAMO-R1 Model is Amazing! How to Convert it to MLX? #277
Description
I tested the NAMO-R1 model, and the results are amazing! Now, I’m wondering what kind of performance boost and efficiency it could achieve with MLX on Apple Silicon.
The model is in .safetensors format and includes:
- namo.llm (a language model)
- namo.ve (possibly a vision encoder)
I’d love to convert it to MLX, but I’m not sure where to start. I’ve tried extracting the weights and exploring MLX documentation, but I still need guidance on:
- Way for converting safetensors to MLX-compatible format
- Defining the model architecture in mlx.nn
- Mapping and loading the weights correctly
Has anyone here worked on similar model conversions? Any guides, scripts, or insights would be greatly appreciated!
Can’t wait to see what magic NAMO-R1 + MLX can do.