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mlx-community/h2o-danube-1.8b-chat-4bit-mlx

This model was converted to MLX format from h2oai/h2o-danube-1.8b-chat. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/h2o-danube-1.8b-chat-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
355M params
Tensor type
FP16
·
U32
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Datasets used to train mlx-community/h2o-danube-1.8b-chat-4bit-mlx