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JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit
EXAONE-Deep-7.8B-mlx-6Bit 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-6Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-7.8B using mlx-lm version 0.21.5.
Downloads · 30 days
23
12% of all-time downloads
All-time downloads
186
Public
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7.8B
6.4 GB on disk
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.safetensors6.4 GB · 100%
How the weights are stored.
U327.8B · 100%
From the Hugging Face model README
The Model JJAnderson/EXAONE-Deep-7.8B-mlx-6Bit 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-6Bit")
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)