README.md

metadata

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 was converted to MLX format from DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH using mlx-lm version 0.28.2.

Use with mlx

pip install mlx-lm

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)