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:
- 4bd2e8a48eb791b942f9e142d4140c88037d757c454fe68b3fe770c1936c6888
- Size of remote file:
- 26.2 MB
- SHA256:
- eb4aca5d982679a8973a2f982fe7674c4e4ba4045f4fb99a20f2052ef3a8b4f9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.