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sugatoray/mlx-neuralhermes-2.5-mistral-7b-q4bits

This model was converted to MLX format from mlabonne/NeuralHermes-2.5-Mistral-7B. 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("sugatoray/mlx-neuralhermes-2.5-mistral-7b-q4bits")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
1.24B params
Tensor type
FP16
·
U32
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Finetuned from

Dataset used to train sugatoray/mlx-neuralhermes-2.5-mistral-7b-q4bits