metadata

license: apache-2.0
language:
  - en
  - zh
base_model: YOYO-AI/Qwen2.5-14B-YOYO-V5
pipeline_tag: text-generation
tags:
  - merge
  - mlx
library_name: mlx

litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4

This model litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4 was converted to MLX format from YOYO-AI/Qwen2.5-14B-YOYO-V5 using mlx-lm version 0.22.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("litmudoc/Qwen2.5-14B-1M-YOYO-V5-MLX-Q4")

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)