Image-Text-to-Text
Safetensors
MLX
mlx-vlm
mistral3
apple-silicon
pixtral
guardrail
content-moderation
safety-classification
multimodal
4-bit precision
conversational
Instructions to use AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-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("AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit") config = load_config("AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-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
- Atomic Chat
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Download examples/README.md from AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit: direct link, hf CLI and curl.
- Browser
- Download file 485 Bytes
-
https://huggingface.co/AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/resolve/main/examples/README.md
- Command line
-
hf download hf://AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/examples/README.md
-
curl -L -o README.md https://huggingface.co/AXONVERTEX-AI-RESEARCH/Shieldstral-1.0-3B-MLX-4bit/resolve/main/examples/README.md
485 Bytes
Classification graph examples
malware-hierarchy-result.json is a measured hierarchy-reconciliation example used to demonstrate the graph export format. It contains one validated path (SC5 → SUB012 → CAT024) and two raw orphan matches (SC10, SUB022).
Generate the graph without starting the model server:
./scripts/build_classification_graph.sh \
--result examples/malware-hierarchy-result.json \
--output-dir reports/local/classification-graph-example