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mlx-community/T-pro-it-1.0-Q4-mlx
T-pro-it-1.0-Q4-mlx is a machine learning model from mlx-community. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
The Model mlx-community/T-pro-it-1.0-Q4-mlx was converted to MLX format from t-tech/T-pro-it-1.0 using mlx-lm version 0.19.2.
Downloads · 30 days
20
6% of all-time downloads
All-time downloads
320
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32.8B
18.4 GB on disk
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.safetensors18.4 GB · 100%
How the weights are stored.
U3232.8B · 100%
From the Hugging Face model README
The Model mlx-community/T-pro-it-1.0-Q4-mlx was converted to MLX format from t-tech/T-pro-it-1.0 using mlx-lm version 0.19.2.
All rights pertaining to the model are the exclusive property of T-tech, while the model conversion tool is the property of MLX Community.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/T-pro-it-1.0-Q4-mlx")
prompt="Напиши стих про машинное обучение"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [
{"role": "system", "content": "Ты T-pro, виртуальный ассистент в Т-Технологии. Твоя задача - быть полезным диалоговым ассистентом."},
{"role": "user", "content": prompt}
]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)