Image-Text-to-Text
MLX
Safetensors
English
Chinese
qwen3_5
unsloth
heretic
uncensored
abliterated
fine tune
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prosing
vivid writing
fiction
roleplaying
bfloat16
all use cases
conversational
8-bit precision
Instructions to use nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx") config = load_config("nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Unsloth Studio
How to use nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx", max_seq_length=2048, ) - Pi
How to use nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx
Run Hermes
hermes
Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx
Brainwaves
arc arc/e boolq hswag obkqa piqa wino
mxfp8 0.673,0.846,0.905
Baseline model
arc arc/e boolq hswag obkqa piqa wino
Qwen3.6-27B-Instruct
mxfp8 0.647,0.803,0.910,0.773,0.450,0.806,0.742
qx86-hi 0.637,0.798,0.911,0.775,0.442,0.807,0.737
This model Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx was converted to MLX format from DavidAU/Qwen3.6-27B-Heretic2-Uncensored-Finetune-Thinking using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Qwen3.6-27B-Polaris-Heretic-mxfp8-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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model size
8B params
Tensor type
U8
·
U32 ·
BF16 ·
Hardware compatibility
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8-bit
Model tree for nightmedia/Qwen3.6-27B-Polaris-Heretic-mxfp8-mlx
Base model
trohrbaugh/Qwen3.6-27B-heretic-ara