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---
license: apache-2.0
datasets:
- common-pile/comma_v0.1_training_dataset
language:
- en
base_model: common-pile/comma-v0.1-2t
pipeline_tag: text-generation
tags:
- mlx
library_name: mlx
---
# common-pile/comma-v0.1-2t ported to MLX
See [common-pile/comma-v0.1-2t](https://huggingface.co/common-pile/comma-v0.1-2t) for the original model card.
Try this model out using [uv](https://github.com/astral-sh/uv) like this, which will download a 15GB model the first time you run it:
```
uv run --python 3.12 \
--with mlx-lm \
mlx_lm.generate \
--model simonw/comma-v0.1-2t-mlx \
--prompt 'Facts about pelicans:'
```
More notes [on my blog](https://simonwillison.net/2025/Jun/7/comma/). I created the MLX port using this command:
```bash
uv run --python 3.12 \
--with mlx-lm \
python -m mlx_lm convert \
--hf-path common-pile/comma-v0.1-2t \
--mlx-path ./comma-v0.1-2t-mlx
```
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