OsirisCortex-v7-Censo-MLX
Cortex v7 (Censored + Vision) — Osiris's main reasoning + vision brain. VLM (Vision-Language Model) that can process images, screenshots, and video frames. Runs natively on Apple Silicon via MLX Metal.
Architecture
- Base Model: Qwen3.5-9B VLM (9B params, vision + language)
- Architecture:
Qwen3_5ForConditionalGeneration(multimodal) - Format: MLX mxfp4 quantized (Apple Silicon native)
- Size: ~5.3 GB (includes vision encoder)
- Vision: Full image understanding, OCR, screenshot analysis, video frames
- Note: This is the censored (base) version. For uncensored, see OsirisCortex-v7-MLX.
Usage
from mlx_vlm import load, generate
model, processor = load("osirisbrain/OsirisCortex-v7-Censo-MLX")
output = generate(model, processor, "Describe this image", ["path/to/image.jpg"])
Credits
Converted by RepublicOfKorokke. Original model: Qwen/Qwen3.5-9B by Alibaba.
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Model size
2B params
Tensor type
U8
·
U32 ·
BF16 ·
F32 ·
Hardware compatibility
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4-bit
# 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("osirisbrain/OsirisCortex-v7-Censo-MLX") config = load_config("osirisbrain/OsirisCortex-v7-Censo-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)