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mistral
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mlx_community/dolphin-2.8-mistral-7b-v02-Q_8-mlx

This model was converted to MLX format from cognitivecomputations/dolphin-2.8-mistral-7b-v02 using mlx-lm version 0.5.0. 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/dolphin-2.8-mistral-7b-v02-Q_8-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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1.24B params
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FP16
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U32
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Finetuned from

Datasets used to train matteocap/dolphin-2.8-mistral-7b-v02-Q_8-mlx