Text Generation
MLC-LLM
English
webllm
webgpu
browser
recursive-multi-agent
llama
tinyllama
latent
conversational
Instructions to use VishalMysore/RecursiveMAS-TinyLlama-1.1B-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use VishalMysore/RecursiveMAS-TinyLlama-1.1B-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:
- b86b5bddbbe4fc6f8b23912de845a356c0127f3d05c6f3505e6aa01cdd888412
- Size of remote file:
- 47 MB
- SHA256:
- 129f9b9c248d6e963df93147be76d3ce8c556b41f04917a6b868f03f36918c9f
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