metadata
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-Coder-Next-Base/blob/main/LICENSE
pipeline_tag: text-generation
base_model: Qwen/Qwen3-Coder-Next-Base
tags:
- mlx
DarthGrampus/Qwen3-Coder-Next-Base-mlx-6Bit
The Model DarthGrampus/Qwen3-Coder-Next-Base-mlx-6Bit was converted to MLX format from Qwen/Qwen3-Coder-Next-Base using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("DarthGrampus/Qwen3-Coder-Next-Base-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)