https://github.com/alexweberk/playing-with-llms

Some Jupyter and Colab notebooks I used when playing with LLMs
https://github.com/alexweberk/playing-with-llms

Last synced: about 1 month ago
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Some Jupyter and Colab notebooks I used when playing with LLMs

• Host: GitHub
• URL: https://github.com/alexweberk/playing-with-llms
• Owner: alexweberk
• Created: 2023-08-31T14:30:06.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-11T15:23:21.000Z (8 months ago)
• Last Synced: 2024-12-14T20:44:34.979Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 7.95 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Summary

Just a place to store some of the Jupyter and Colab notebooks I've used when playing with LLMs.

## Model List

### LLM Models with Japanese Capabilities

Here's a quick spreadsheet I've been using to summarize the difference of the models. Feel free to add comments or suggestions.

https://docs.google.com/spreadsheets/d/1RftE-WMHCQF82DFJPwh-ch8FIE4jEFClIfy8C9enMho/edit#gid=0

Models I have tried:

- stabilityai/japanese-stablelm-base-alpha-7b

- stabilityai/japanese-stablelm-instruct-alpha-7b

- weblab-10b

- qwen-7b

- rinna/bilingual-gpt-neox-4b

- rinna/bilingual-gpt-neox-4b-instruction-sft

- rinna/bilingual-gpt-neox-4b-instruction-ppo

- line-corporation/japanese-large-lm-3.6b

- line-corporation/japanese-large-lm-3.6b-instruction-sft

- ELYZA-japanese-Llama-2-7b-fast-instruct