4
stars
2
commits
1
linked in READMEs
Jan 17, 2024
updated
This model was converted to MLX format from mlabonne/NeuralBeagle14-7B.
Refer to the original model card for more details on the model.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/NeuralBeagle14-7B-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
2 commits
4
stars
2
commits
1
linked in READMEs
Jan 17, 2024
updated
This model was converted to MLX format from mlabonne/NeuralBeagle14-7B.
Refer to the original model card for more details on the model.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/NeuralBeagle14-7B-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
2 commits