metadata
pipeline_tag: text-generation
inference: false
license: apache-2.0
library_name: mlx
tags:
- language
- granite-3.2
- mlx
base_model: alexgusevski/granite-3.2-2b-instruct-q4-mlx
DQN-Labs/dqncode_v0.4_prototype
This model DQN-Labs/dqncode_v0.4_prototype was converted to MLX format from alexgusevski/granite-3.2-2b-instruct-q4-mlx using mlx-lm version 0.31.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("DQN-Labs/dqncode_v0.4_prototype")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)