mlabonne/FineTome-100k
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How to use cmcmaster/rheum-dolphin-2.9.4-gemma2-2b with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir rheum-dolphin-2.9.4-gemma2-2b cmcmaster/rheum-dolphin-2.9.4-gemma2-2b
The Model cmcmaster/rheum-dolphin-2.9.4-gemma2-2b was converted to MLX format from cognitivecomputations/dolphin-2.9.4-gemma2-2b using mlx-lm version 0.18.0.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cmcmaster/rheum-dolphin-2.9.4-gemma2-2b")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Quantized
Base model
google/gemma-2-2b