Image-Text-to-Text
MLX
Safetensors
English
Korean
qwen3_5_moe
qwen-agentworld
abliterated
nightmedia
quantized
conversational
4-bit precision
Instructions to use nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx") config = load_config("nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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
- Pi
How to use nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx"
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": "nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-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/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx"
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 "nightmedia/SuperQwen-AgentWorld-35B-A3B-abliterated-mxfp4-mlx" \ --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"
Update README.md
Browse files
README.md
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## Use with mlx
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```bash
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```
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## Thinking toggle
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This model is using(an early version of) the fixed jinja template from [froggeric/Qwen-Fixed-Chat-Templates](https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates)
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Drop <|think_on|> or <|think_off|> anywhere in your system or user prompt. The template intercepts the tag, removes it from context so the model never sees it, and flips the mode.
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The tag syntax (<|think_on|>, <|think_off|>) uses Qwen's control-token delimiters, so it will never collide with real text. Earlier community templates used /think, which broke legitimate paths like cd /mnt/project/think.
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I added a similar set of tags as <|think_forget|> or <|think_remember|> for handling the `preserve_thinking` flag.
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-G
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## Use with mlx
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```bash
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