metadata
license: mit
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: inclusionAI/Ling-lite-1.5-2507
Ling-lite-1.5-2507-q6-hi-mlx
This model Ling-lite-1.5-2507-q6-hi-mlx was converted to MLX format from inclusionAI/Ling-lite-1.5-2507 using mlx-lm version 0.26.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Ling-lite-1.5-2507-q6-hi-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)