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umar141/Baro-mlx-mac-1.0
Baro-mlx-mac-1.0 is a machine learning model from umar141. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
Baro is a presence-based emotional companion. It does not give advice, motivation, or solutions. It responds with calm reassurance and emotional presence.
Downloads · 30 days
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Updated Jan 10, 2026
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From the Hugging Face model README
Baro is a presence-based emotional companion. It does not give advice, motivation, or solutions. It responds with calm reassurance and emotional presence.
Make sure you have Python 3.10 or newer.
Install MLX language tools:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
echo >> ~/.zprofile
echo 'eval "$(/opt/homebrew/bin/brew shellenv zsh)"' >> ~/.zprofile
eval "$(/opt/homebrew/bin/brew shellenv zsh)"
brew install git git-lfs
python3 -m pip install mlx-lm huggingface_hub
export HF_TOKEN=hf_xxxxx
git clone https://huggingface.co/umar141/Baro-mlx-mac-1.0
cd Baro-mlx-mac-1.0
git lfs pull
mlx_lm.convert \
--hf-path google/gemma-3-1b-it \
--mlx-path gemma-1b-mlx
mlx_lm.generate \
--model gemma-1b-mlx \
--adapter-path baro_1.0 \
--system-prompt system_prompt.txt \
--max-tokens 130 \
--temp 0.6 \
--top-p 0.9 \
--top-k 40 \
--min-p 0.05 \
--extra-eos-token "\n\n" \
--prompt "I feel empty and tired lately."