Instructions to use BlinkDL/temp-latest-training-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use BlinkDL/temp-latest-training-models with RWKV:
# 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
Here are some cutting-edge preview RWKV models: https://huggingface.co/BlinkDL/temp-latest-training-models/tree/main
including RWKV-7 checkpts (already supported by https://pypi.org/project/rwkv/ and https://github.com/Ai00-X/ai00_server)
Ref: https://huggingface.co/BlinkDL/rwkv-7-world
"single_round_qa" are "states" (check https://x.com/BlinkDL_AI/status/1788354345807057035) and these are single round Q&A states
data_sample is random subsample of world dataset. note: due to technical reasons (very complicated due to my horrible messy code), some distill instruct data are not included, and only subsamples of these instruct data are included: flan, Buzz-V12, WebInstructSub, SKGInstruct, PIPPA, COIG-PC-core
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