behnamebrahimi/mlx-quantized
This model was converted to MLX format from mistralai/Mistral-7B-v0.1 using mlx-lm version 0.4.0.
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("behnamebrahimi/mlx-quantized")
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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Quantized
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("behnamebrahimi/mlx-quantized") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True)