---
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
```