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alexcovo/MiroThinker-v1.5-30B-mlx-fp16-mlx-4Bit
MiroThinker-v1.5-30B-mlx-fp16-mlx-4Bit is a text generation model from alexcovo. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
The Model alexcovo/MiroThinker-v1.5-30B-mlx-fp16-mlx-4Bit was converted to MLX format from alexcovo/MiroThinker-v1.5-30B-mlx-fp16 using mlx-lm version 0.29.1.
Downloads · 30 days
18
7% of all-time downloads
All-time downloads
258
Public
Parameters
30.5B
17.2 GB on disk
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Public
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.safetensors17.2 GB · 100%
How the weights are stored.
U3230.5B · 100%
From the Hugging Face model README
The Model alexcovo/MiroThinker-v1.5-30B-mlx-fp16-mlx-4Bit was converted to MLX format from alexcovo/MiroThinker-v1.5-30B-mlx-fp16 using mlx-lm version 0.29.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexcovo/MiroThinker-v1.5-30B-mlx-fp16-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)