Instructions to use strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine 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("strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine") config = load_config("strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine") # 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
- Pi
How to use strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine 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 "strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine"
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 strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Qwen3.8 27B ยท Abliterated by OS-Software ยท 8-bit MLX
Converted from OS-Software/Qwen3.8-27B-Uncensored-Heretic-v3 for MLX on Apple Silicon.
Editions: 4-bit ยท 8-bit ยท BF16 source ยท Conversion record
General properties
| Property | Value |
|---|---|
| Weights | 29.50 GB / 27.48 GiB ยท 6 safetensors shards |
| Quantization | 8-bit affine ยท group size 64 |
| Scales, biases and unquantized weights | BF16 |
| Vision encoder | Included in BF16 |
| Configured context | 262,144 tokens, inherited from the source |
| Source revision | e5fe37a1 |
Download for oMLX
hf download strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine \
--local-dir "$HOME/.omlx/models/strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine"
Use ~/.omlx/models as your oMLX model directory, or replace it with your configured path.
Run with mlx-vlm
pip install 'mlx==0.32.3' 'mlx-vlm==0.7.6' \
'mlx-lm==0.32.0' 'transformers==5.17.0' 'numpy==2.3.5'
mlx_vlm.generate --model strangecreator/Qwen3.8-27B-OS-Software-Heretic-v3-MLX-8bit-g64-affine \
--prompt 'What is 2 + 2?' --temperature 0 --max-tokens 32
For image input, add --image /path/to/image.png and use an image-related prompt.
Compatibility
The source repository contains no MTP weight tensors. The source tokenizer and chat template are included. qwen3_5 in the configuration is the architecture identifier used by this Qwen3.8 model.
Reproduce the conversion
hf download OS-Software/Qwen3.8-27B-Uncensored-Heretic-v3 \
--revision e5fe37a1fcbd74fc9058170c6c60fe248828e205 \
--local-dir ./source-bf16
Before conversion, extract the source's nested processor settings:
import json
from pathlib import Path
root = Path("./source-bf16")
config = json.loads((root / "processor_config.json").read_text())
for key, filename in (
("image_processor", "preprocessor_config.json"),
("video_processor", "video_preprocessor_config.json"),
):
(root / filename).write_text(json.dumps(config[key], indent=2))
mlx_vlm.convert --hf-path ./source-bf16 --mlx-path ./mlx-model \
--quantize --q-bits 8 --q-group-size 64 \
--q-mode affine --dtype bfloat16
The converter uses native MLX affine quantization. Both editions were converted directly from BF16.
| Tool | Version |
|---|---|
| MLX | 0.32.3 |
| mlx-vlm | 0.7.6 |
| mlx-lm | 0.32.0 |
| Transformers | 5.17.0 |
Full provenance is in conversion.json. Transfer checksums are in SHA256SUMS.
Credits and license
Original model: Qwen/Qwen3.8-27B. Abliterated BF16 checkpoint: OS-Software/Qwen3.8-27B-Uncensored-Heretic-v3.
Apache-2.0. The source declares Apache-2.0. The included license text comes from the official Qwen base model. See LICENSE and the upstream model card for intended use and evaluation details.
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Qwen/Qwen3.8-27B