Text Generation
MLC-LLM
Japanese
English
Chinese
gemma3
transformer
instruction-tuned
multilingual
uncensored
non-censored
unfiltered
web-llm
conversational
Instructions to use kawasumi/Tema_Q-R-4B-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use kawasumi/Tema_Q-R-4B-MLC with MLC-LLM:
# 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
- Xet hash:
- 9605cdb88163ef2f876a7a45b6a1e67a569a1d3e4479e8d9211f444c1ec7ac74
- Size of remote file:
- 26.2 MB
- SHA256:
- 25f8ab36fcd1542d6f75f23f2c3aaa11f1d8d279f988d05ae2e278fe577088b1
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