Instructions to use FluidInference/d3-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FluidInference/d3-coreml with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download FluidInference/d3-coreml --local-dir d3-coreml
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
2 days ago
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Add d3-edge: Core ML packages + MLX weights and host
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5 days ago
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Add 4,096-token text buckets (prompts up to 4,096 tokens)
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d3 Core ML: mini (vllm-sr Decision 3.0 v3.1.0)
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d3 Core ML: nano (vllm-sr Decision 3.0 v3.1.0)
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d3 Core ML: lite (vllm-sr Decision 3.0 v3.1.0)
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d3 Core ML: README (vllm-sr Decision 3.0 v3.1.0)
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initial commit
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