MLX Models
Collection
Models converted to run with MLX
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13 items
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Updated
The Model alexgusevski/EXAONE-3.5-7.8B-Instruct-q3-mlx was converted to MLX format from LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct using mlx-lm version 0.21.4.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/EXAONE-3.5-7.8B-Instruct-q3-mlx")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
Base model
LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct