---
base_model: Jackrong/Qwopus3.6-27B-v2
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_6
- reasoning
- chain-of-thought
- lora
- sft
- multimodal
- vision
- tool-use
- function-calling
- long-context
- agent
- mlx
license: apache-2.0
language:
- en
- zh
- es
- ru
- ja
pipeline_tag: text-generation
datasets:
- Jackrong/Claude-opus-4.6-TraceInversion-9000x
- Jackrong/Claude-opus-4.7-TraceInversion-5000x
library_name: mlx
---

# Jackrong/Qwopus3.6-27B-v2-MLX-6bit

This model [Jackrong/Qwopus3.6-27B-v2-MLX-6bit](https://huggingface.co/Jackrong/Qwopus3.6-27B-v2-MLX-6bit) was
converted to MLX format from [Jackrong/Qwopus3.6-27B-v2](https://huggingface.co/Jackrong/Qwopus3.6-27B-v2)
using mlx-lm version **0.30.7**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("Jackrong/Qwopus3.6-27B-v2-MLX-6bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```