README.md

---
license: apache-2.0
base_model: DavidAU/Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B
datasets:
- DavidAU/horror-nightmare1
- DavidAU/ST-Org
- DavidAU/ST-TNG
- DavidAU/ST-DS9
- DavidAU/ST-VOY
- DavidAU/ST-ENT
- DavidAU/ST-DIS
language:
- en
pipeline_tag: text-generation
tags:
- programming
- code generation
- code
- coding
- coder
- chat
- brainstorm
- qwen
- qwen3
- qwencoder
- brainstorm 20x
- creative
- all uses cases
- Jan-V1
- horror
- science fiction
- fantasy
- Star Trek
- Star Trek Original
- Star Trek The Next Generation
- Star Trek Deep Space Nine
- Star Trek Voyager
- Star Trek Enterprise
- Star Trek Discovery.
- finetune
- thinking
- reasoning
- unsloth
- 6x6B
- moe
- mixture of experts
- mlx
library_name: mlx
---

# Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B-qx86-hi-mlx

This model [Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B-qx86-hi-mlx](https://huggingface.co/Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B-qx86-hi-mlx) was
converted to MLX format from [DavidAU/Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B](https://huggingface.co/DavidAU/Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B)
using mlx-lm version **0.28.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Qwen3-MOE-6x6B-Star-Trek-Universe-Alpha-D-256k-ctx-36B-qx86-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)
```