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
1B params
Tensor type
F16
·
U32 ·
Hardware compatibility
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Model tree for sugatoray/mlx-neuralhermes-2.5-mistral-7b-q4bits
Base model
mistralai/Mistral-7B-v0.1 Finetuned
teknium/OpenHermes-2.5-Mistral-7B