README.md

metadata

license: apache-2.0
language:
  - zh
  - en
tags:
  - qwen
  - qwen3
  - unsloth
  - QiMing
  - QiMing-holos
  - bagua
  - decision-making
  - strategic-analysis
  - cognitive-architecture
  - chat
  - lora
  - philosophy-driven-ai
  - mlx
pipeline_tag: text-generation
base_model: aifeifei798/QiMing-v1.0-14B
library_name: mlx

QiMing-v1.0-14B-qx64-hi-mlx

This model QiMing-v1.0-14B-qx64-hi-mlx was converted to MLX format from aifeifei798/QiMing-v1.0-14B using mlx-lm version 0.26.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("QiMing-v1.0-14B-qx64-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)