---
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)
```