metadata
license: apache-2.0
language:
- en
- zh
base_model: YOYO-AI/Qwen2.5-14B-YOYO-latest-V2
pipeline_tag: text-generation
tags:
- merge
- mlx
bobig/Qwen2.5-14B-1M-YOYO-V2
The Model bobig/Qwen2.5-14B-1M-YOYO-V2 was converted to MLX format from YOYO-AI/Qwen2.5-14B-YOYO-latest-V2 using mlx-lm version 0.21.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("bobig/Qwen2.5-14B-1M-YOYO-V2")
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)