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)
Downloads last month
12
Safetensors
Model size
1.24B params
Tensor type
FP16
·
U32
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for sugatoray/mlx-neuralhermes-2.5-mistral-7b-q4bits

Finetuned
(72)
this model

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