Text Generation
MLX
Safetensors
qwen3
dflash
speculative-decoding
diffusion
efficiency
flash-decoding
qwen
qwen3.6
diffusion-language-model
custom_code
6-bit
Instructions to use funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit" --prompt "Once upon a time"
- Atomic Chat
This model was converted to MLX format from z-lab/Qwen3.6-27B-DFlash.
Code To Quantify This Model
from mlx_vlm import convert
convert(
hf_path="/Volumes/original_model_path/Qwen3.6-27B-DFlash",
mlx_path="/Volumes/quantized_model_path/Qwen3.6-27B-DFlash-MLX-6bit",
quantize=True,
q_bits=6,
q_group_size=32
)
- Downloads last month
- 628
Model size
0.4B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
6-bit
Model tree for funnygeeker/Qwen3.6-27B-DFlash-MLX-6bit
Base model
z-lab/Qwen3.6-27B-DFlash