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:
- 2c44f140790d348021955be097ca8c47072fde6e0f410a6f7e25758acccf7b84
- Size of remote file:
- 26.2 MB
- SHA256:
- fd88015b7631a03ade2cf46fde348828ae0a01673fa49eff6f0c78f866dfa541
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