| 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](https://huggingface.co/QiMing-v1.0-14B-qx64-hi-mlx) was | |
| converted to MLX format from [aifeifei798/QiMing-v1.0-14B](https://huggingface.co/aifeifei798/QiMing-v1.0-14B) | |
| using mlx-lm version **0.26.4**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| 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) | |
| ``` | |