Instructions to use inferencerlabs/Ornith-1.0-397B-MLX-Q9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use inferencerlabs/Ornith-1.0-397B-MLX-Q9 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("inferencerlabs/Ornith-1.0-397B-MLX-Q9") config = load_config("inferencerlabs/Ornith-1.0-397B-MLX-Q9") # 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 inferencerlabs/Ornith-1.0-397B-MLX-Q9 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "inferencerlabs/Ornith-1.0-397B-MLX-Q9"
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": "inferencerlabs/Ornith-1.0-397B-MLX-Q9" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use inferencerlabs/Ornith-1.0-397B-MLX-Q9 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 "inferencerlabs/Ornith-1.0-397B-MLX-Q9"
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 inferencerlabs/Ornith-1.0-397B-MLX-Q9
Run Hermes
hermes
Upload model file
Browse files- tokenizer_config.json +33 -0
tokenizer_config.json
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{
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"add_prefix_space": false,
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"image_token": "<|image_pad|>",
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"is_local": true,
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"local_files_only": false,
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"model_max_length": 262144,
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"model_specific_special_tokens": {
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"audio_bos_token": "<|audio_start|>",
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"audio_eos_token": "<|audio_end|>",
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"audio_token": "<|audio_pad|>",
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"image_token": "<|image_pad|>",
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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},
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"pad_token": "<|endoftext|>",
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"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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"processor_class": "Qwen3VLProcessor",
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"split_special_tokens": false,
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"tokenizer_class": "TokenizersBackend",
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"unk_token": null,
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"video_token": "<|video_pad|>",
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"vision_bos_token": "<|vision_start|>",
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"vision_eos_token": "<|vision_end|>"
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}
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