Org README suggestions (#6)

- Org README suggestions (54b5699d2fff64f583d65b125beae9b7780d4792)


Co-authored-by: Pedro Cuenca <pcuenq@users.noreply.huggingface.co>

README.md

@@ -9,9 +9,12 @@ pinned: false
 
 # MLX Community
 
-A community org for model weights compatible with [mlx-examples](https://github.com/ml-explore/mlx-examples) powered by [MLX](https://github.com/ml-explore/mlx).
+A community org for [MLX](https://github.com/ml-explore/mlx) model weights that run on Apple Silicon. This organization hosts ready-to-use models compatible with:
+- [mlx-examples](https://github.com/ml-explore/mlx-examples) – a Python and CLI to run multiple types of models, including LLMs, image models, audio models, and more.
+- [mlx-swift-examples](https://github.com/ml-explore/mlx-swift-examples) – a Swift package to run MLX models.
+- [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) – package for inference and fine-tuning of Vision Language Models (VLMs) using MLX.
 
-These are pre-converted weights and ready to be used in the example scripts.
+These are pre-converted weights, ready to use in the example scripts or integrate in your apps.
 
 
 # Quick start for LLMs
@@ -31,12 +34,23 @@ mlx_lm.generate --model mlx-community/Mistral-7B-Instruct-v0.3-4bit --prompt "he
 This will download a Mistral 7B model from the Hugging Face Hub and generate
 text using the given prompt. 
 
-For a full list of options run:
+To chat with an LLM use:
 
+```bash
+mlx_lm.chat
 ```
-mlx_lm.generate --help
+
+This will give you a chat REPL that you can use to interact with the LLM. The
+chat context is preserved during the lifetime of the REPL.
+
+For a full list of options run `--help` on the command of your interest, for example:
+
+```
+mlx_lm.chat --help
 ```
 
+## Conversion and Quantization
+
 To quantize a model from the command line run:
 
 ```
@@ -60,6 +74,10 @@ mlx_lm.convert \
     --upload-repo mlx-community/my-4bit-mistral
 ```
 
+Models can also be converted and quantized directly in the
+[mlx-my-repo](https://huggingface.co/spaces/mlx-community/mlx-my-repo) Hugging
+Face Space.
+
 For more details on the API checkout the full [README](https://github.com/ml-explore/mlx-examples/tree/main/llms)
 
 
@@ -67,8 +85,11 @@ For more details on the API checkout the full [README](https://github.com/ml-exp
 
 For more examples, visit the [MLX Examples](https://github.com/ml-explore/mlx-examples) repo. The repo includes examples of:
 
+- Image generation with Flux and Stable Diffusion
 - Parameter efficient fine tuning with LoRA
 - Speech recognition with Whisper
-- Image generation with Stable Diffusion
+- Multimodal models such as CLIP or LLaVA
+
+  and many other examples of different machine learning applications and algorithms.
 
-  and many other examples of different machine learning applications and algorithms.
+For comprehensive support of VLMs, check [mlx-vlm](https://github.com/Blaizzy/mlx-vlm), and to integrate MLX natively in your apps use [mlx-swift-examples](https://github.com/ml-explore/mlx-swift-examples).