metadata
license: mit
language:
- en
library_name: mlx
tags:
- mlx
base_model: inclusionAI/Ling-2.6-flash
pipeline_tag: text-generation
mlx-community/Ling-2.6-flash-mlx-4bit-DWQ
This model mlx-community/Ling-2.6-flash-mlx-4bit-DWQ was converted to MLX format from inclusionAI/Ling-2.6-flash using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Ling-2.6-flash-mlx-4bit-DWQ")
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)