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Add URLs to HF MLX-Community org. (#153)

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* up

* Add ref to MLX org on the README.

* nit: language.

* Standardise org name.
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Vaibhav Srivastav 2023-12-20 20:27:13 +05:30 committed by GitHub
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README.md
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@ -16,6 +16,8 @@ Some more useful examples include:
- Bidirectional language understanding with [BERT](bert) - Bidirectional language understanding with [BERT](bert)
- Semi-supervised learning on graph-structured data with [GCN](gcn). - Semi-supervised learning on graph-structured data with [GCN](gcn).
Note: You can now directly download a few converted checkpoints from the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face.
## Contributing ## Contributing
We are grateful for all of [our We are grateful for all of [our

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llama/README.md
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@ -20,10 +20,8 @@ weights you will need to request access from Meta:
- [Request Llama v1](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform) - [Request Llama v1](https://docs.google.com/forms/d/e/1FAIpQLSfqNECQnMkycAp2jP4Z9TFX0cGR4uf7b_fBxjY_OjhJILlKGA/viewform)
- [Request Llama v2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) - [Request Llama v2](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)
> [!TIP]
Alternatively, you can also download a select converted checkpoints from the > Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
[mlx-llama](https://huggingface.co/mlx-llama) community organisation on Hugging
Face and skip the conversion step.
You can download the TinyLlama models directly from [Hugging You can download the TinyLlama models directly from [Hugging
Face](https://huggingface.co/TinyLlama). Face](https://huggingface.co/TinyLlama).

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mistral/README.md
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@ -28,6 +28,9 @@ python convert.py
The conversion script will save the converted weights in the same location. The conversion script will save the converted weights in the same location.
> [!TIP]
> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
### Run ### Run
Once you've converted the weights to MLX format, you can generate text with Once you've converted the weights to MLX format, you can generate text with

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phi2/README.md
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@ -17,6 +17,9 @@ python convert.py
This will make the `weights.npz` file which MLX can read. This will make the `weights.npz` file which MLX can read.
> [!TIP]
> Alternatively, you can also download a few converted checkpoints from the the [MLX Community](https://huggingface.co/mlx-community) organisation on Hugging Face and skip the conversion step.
## Generate ## Generate
To generate text with the default prompt: To generate text with the default prompt: