Instructions to use 0xSero/Inkling-Small-EXL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use 0xSero/Inkling-Small-EXL3 with Trellis:
# 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
- Notebooks
- Google Colab
- Kaggle
Inkling-Small EXL3 quantization suite
This is a lightweight index card for the public EXL3 quantizations of thinkingmachines/Inkling-Small. It intentionally contains no model weights.
Hugging Face Collection
Browse the complete suite in the public Inkling-Small EXL3 Quantization Suite collection.
Variants
| Target | Model repository |
|---|---|
| 2.0 bpw | 0xSero/Inkling-Small-EXL3-2.0bpw |
| 2.5 bpw | 0xSero/Inkling-Small-EXL3-2.5bpw |
| 3.0 bpw | 0xSero/Inkling-Small-EXL3-3.0bpw |
| 3.5 bpw | 0xSero/Inkling-Small-EXL3-3.5bpw |
| 4.0 bpw | 0xSero/Inkling-Small-EXL3-4.0bpw |
| 4.5 bpw | 0xSero/Inkling-Small-EXL3-4.5bpw |
| 5.0 bpw | 0xSero/Inkling-Small-EXL3-5.0bpw |
The target bpw applies to routed-expert trellis weights. Attention, shared experts, multimodal components, the LM head, and MTP remain in source precision, so complete repository sizes are larger than a whole-model quantization at the nominal rate. Each variant card documents its layout, fractional allocation, validation status, and compatibility limits.
Runtime status: All seven archives are structurally verified and downloadable. Full-model text generation, multimodal generation, and MTP validation remain pending; these repositories are not currently drop-in Transformers checkpoints.
Credits
Thanks to the Thinking Machines Lab Inkling team for Inkling-Small, TurboDerp for ExLlamaV3/EXL3, and JarvisLabs for the 8ร NVIDIA H200 compute used for the sweep.
This is an independent community quantization and is not an official release from Thinking Machines Lab, TurboDerp, or JarvisLabs.
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