updates

moshi/README.md

@@ -44,6 +44,7 @@ You can use `--gradio-tunnel-token` to set a fixed secret token and reuse the sa
 Alternatively, you might want to use SSH to redirect your connection.
 
 You can use `--hf-repo` to select a different pretrained model, by setting the proper Hugging Face repository.
+See [the model list](https://github.com/kyutai-labs/moshi?tab=readme-ov-file#models) for a reference of the available models.
 
 Accessing a server that is not localhost via http may cause issues with using
 the microphone in the web UI (in some browsers this is only allowed using
@@ -57,7 +58,7 @@ However note, that unlike the web browser, this client is barebone. It does not
 nor does it try to compensate for a growing lag by skipping frames.
 
 
-## API - Mimi
+## API
 
 You can use programmatically the Mimi/Moshi as follows:
 ```python

moshi_mlx/README.md

@@ -23,15 +23,22 @@ We have tested the MLX version with MacBook Pro M3.
 ## Usage
 
 
-Then the model can be run with:
+Once you have installed `moshi_mlx`, you can run
 ```bash
 python -m moshi_mlx.local -q 4   # weights quantized to 4 bits
 python -m moshi_mlx.local -q 8   # weights quantized to 8 bits
+# And using a different pretrained model:
+python -m moshi_mlx.local -q 4 --hf-repo kmhf/moshika-mlx-q4
+python -m moshi_mlx.local -q 8 --hf-repo kmhf/moshika-mlx-q8
+# be careful to always match the `-q` and `--hf-repo` flag.
 ```
 
 This uses a command line interface, which is barebone. It does not perform any echo cancellation,
 nor does it try to compensate for a growing lag by skipping frames.
 
+You can use `--hf-repo` to select a different pretrained model, by setting the proper Hugging Face repository.
+See [the model list](https://github.com/kyutai-labs/moshi?tab=readme-ov-file#models) for a reference of the available models.
+
 Alternatively you can use `python -m moshi_mlx.local_web` to use
 the web UI, the connection is via http, at [localhost:8998](http://localhost:8998).
 
@@ -47,7 +54,7 @@ If you use either Mimi or Moshi, please cite the following paper,
 ```
 @article{defossez2024moshi,
     title={Moshi: a speech-text foundation model for real-time dialogue},
-    author={Alexandre Défossez and Laurent Mazaré and Manu Orsini and Amélie Royer and 
+    author={Alexandre Défossez and Laurent Mazaré and Manu Orsini and Amélie Royer and
             Patrick Pérez and Hervé Jégou and Edouard Grave and Neil Zeghidour},
     journal={arXiv:TBC},
     year={2024},