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cnfusion/Apriel-1.6-15b-Thinker-mlx-4Bit
Apriel-1.6-15b-Thinker-mlx-4Bit is a image-text-to-text model from cnfusion. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
The Model cnfusion/Apriel-1.6-15b-Thinker-mlx-4Bit was converted to MLX format from ServiceNow-AI/Apriel-1.6-15b-Thinker using mlx-lm version 0.28.3.
Downloads · 30 days
38
3% of all-time downloads
All-time downloads
1.1K
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Parameters
14.4B
8.1 GB on disk
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1
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.safetensors8.1 GB · 100%
How the weights are stored.
U3214.4B · 100%
From the Hugging Face model README
The Model cnfusion/Apriel-1.6-15b-Thinker-mlx-4Bit was converted to MLX format from ServiceNow-AI/Apriel-1.6-15b-Thinker using mlx-lm version 0.28.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("cnfusion/Apriel-1.6-15b-Thinker-mlx-4Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)