Image-Text-to-Text
Safetensors
MLX
mlx-vlm
qwen3_5
multimodal
vision-language
qwen
abliterated
4bit
conversational
4-bit precision
Instructions to use vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit 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("vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit") config = load_config("vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit") # 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 vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit"
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": "vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit 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 "vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit"
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 vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit
Run Hermes
hermes
Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit
MLX-VLM 4bit export of huihui-ai/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated for Apple Silicon workflows, including LM Studio and local mlx_vlm usage.
Overview
- Variant:
4bit - Repository payload at upload time:
16.1G - Repository file count:
11 - Effective quantization observed during conversion:
4.695 bits per weight - Format:
mlx-vlmmodel package
Compatibility
- Uses the corrected Qwen VL chat template with image token placeholders.
- Uses
<|im_end|>-compatible stop token settings for cleaner chat termination in MLX/LM Studio.
Validation
- Local text generation smoke test: passed
- Image token template compatibility was synced to the repository; this card does not claim a separate local image smoke run for this variant.
- Local black-box abliterated check:
6/6non-refused - Refusal rate:
0.0 - Actionable non-refused cases:
6 - Median cleaned response length:
565chars
Behavior Notes
- This variant preserved the abliterated behavior on the local 6-case regression set used during conversion validation.
- These checks are behavioral acceptance tests, not a formal guarantee of identical outputs to the source checkpoint.
Usage
mlx_vlm.generate \
--model /path/to/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit \
--prompt "浣犲ソ" \
--max-tokens 256
For behavior-focused checks, it is safer to disable thinking output so refusal scoring is based on the final answer instead of the thinking trace.
mlx_vlm.generate \
--model /path/to/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit \
--prompt "浣犲ソ" \
--max-tokens 256 \
--processor-kwargs '{"enable_thinking": false}'
LM Studio
- If LM Studio has an older cached copy, refresh or re-download the repository so the latest chat template and config are picked up.
- These repositories are meant for
mlx-vlm/ Apple MLX runtimes rather than Transformers CPU inference.
- Downloads last month
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Model size
5B params
Tensor type
BF16
路
U32 路
F32 路
Hardware compatibility
Log In to add your hardware
4-bit
Model tree for vanch007/Huihui-Qwen3.5-27B-Claude-4.6-Opus-abliterated-mlx-4bit
Base model
Qwen/Qwen3.5-27B