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 8× 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.
- Downloads last month
- -