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JJAnderson/EXAONE-Deep-7.8B-mlx-8Bit
EXAONE-Deep-7.8B-mlx-8Bit is a text generation model from JJAnderson. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
The Model JJAnderson/EXAONE-Deep-7.8B-mlx-8Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-7.8B using mlx-lm version 0.21.5.
Downloads · 30 days
44
12% of all-time downloads
All-time downloads
355
Public
Parameters
7.8B
8.3 GB on disk
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0
Public
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.safetensors8.3 GB · 100%
How the weights are stored.
U327.8B · 100%
From the Hugging Face model README
The Model JJAnderson/EXAONE-Deep-7.8B-mlx-8Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-7.8B using mlx-lm version 0.21.5.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("JJAnderson/EXAONE-Deep-7.8B-mlx-8Bit")
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)