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:
- 013149aacdcb3c2b95196422789760dca0e2edea31ec4f280681c5cdf074b2d5
- Size of remote file:
- 26.9 MB
- SHA256:
- 01d6d48567f76c8f8b90612ea755f9fa3a60ce062cf5d73044230169a2f01399
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