Instructions to use SceneWorks/krea-realtime-14b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- SelfForcing
How to use SceneWorks/krea-realtime-14b-mlx with SelfForcing:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use SceneWorks/krea-realtime-14b-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download SceneWorks/krea-realtime-14b-mlx --local-dir krea-realtime-14b-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
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sc-8435 S2b: model card (upstream Apache-2.0 attribution + tier layout)
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sc-8435 S2b: bf16 tier config.json
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00007-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00006-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00005-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00004-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00003-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00002-of-00007.safetensors
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sc-8435 S2b: bf16 tier shard bf16/transformer/dit-00001-of-00007.safetensors
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sc-8435 S2b: Q8 tier (packed group-64) from krea/krea-realtime-video
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sc-8435 S2b: stock Wan 2.1 companions (UMT5-XXL TE + z16 VAE + tokenizer) for the bf16 tier
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sc-8435 S2b: stock Wan 2.1 companions (UMT5-XXL TE + z16 VAE + tokenizer) for the q8 tier
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sc-8435 S2b: stock Wan 2.1 companions (UMT5-XXL TE + z16 VAE + tokenizer) for the q4 tier
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sc-8435 S2b: Q4 tier (packed group-64) from krea/krea-realtime-video
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initial commit
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