Downloads · 30 days
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36% of all-time downloads
andosen/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-5Bit
Swift-Qwen3.8-27B-Uncensored-MTP-mlx-5Bit is a image-text-to-text model from andosen. 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 other.
The Model andosen/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-5Bit was converted to MLX format from ajgazin/Swift-Qwen3.8-27B-Uncensored-MTP using mlx-lm version 0.31.2.
Downloads · 30 days
220
36% of all-time downloads
All-time downloads
613
Public
Parameters
26.9B
18.5 GB on disk
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Public
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.safetensors18.5 GB · 100%
How the weights are stored.
U3226.9B · 100%
From the Hugging Face model README
The Model andosen/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-5Bit was converted to MLX format from ajgazin/Swift-Qwen3.8-27B-Uncensored-MTP using mlx-lm version 0.31.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("andosen/Swift-Qwen3.8-27B-Uncensored-MTP-mlx-5Bit")
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)