Text Generation
MLC-LLM
Japanese
English
Chinese
gemma2
transformer
instruction-tuned
multilingual
uncensored
non-censored
unfiltered
GGUF
web-llm
Instructions to use kawasumi/Tema_Q-R4.2-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use kawasumi/Tema_Q-R4.2-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
Download params_shard_11.bin from kawasumi/Tema_Q-R4.2-MLC: direct link, hf CLI and curl.
- Browser
- Download file 31.2 MB
-
https://huggingface.co/kawasumi/Tema_Q-R4.2-MLC/resolve/main/params_shard_11.bin
- Command line
-
hf download hf://kawasumi/Tema_Q-R4.2-MLC/params_shard_11.bin
-
curl -L -o params_shard_11.bin https://huggingface.co/kawasumi/Tema_Q-R4.2-MLC/resolve/main/params_shard_11.bin
31.2 MB
- Xet hash:
- 81f9b5a13bf471bdee9cf9b035ed5861c9175c74e67b61a637920a51cf40bb55
- Size of remote file:
- 31.2 MB
- SHA256:
- b5d54e1a9b93f853a75fa5e3cd7e04f50583babee209f15c6bc2b579f2512cf8
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