README.md

---
license: apache-2.0
base_model: DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH
datasets:
- DavidAU/TNG-ALL
- DavidAU/PKD-all
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
- The Next Generation
- TNG
- Philip K. Dick
- Deckard
- finetune
- thinking
- reasoning
- unsloth
- moe
- mixture of experts
- merge
- mlx
library_name: mlx
---

# Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-mlx

Perplexity: 5.010 ± 0.035

metrics coming soon

This model [Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-mlx](https://huggingface.co/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-mlx) was
converted to MLX format from [DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH](https://huggingface.co/DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH)
using mlx-lm version **0.28.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-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)
```