llm_steer-oobabooga
llm-chatbot-rag
| llm_steer-oobabooga | llm-chatbot-rag | |
|---|---|---|
| 4 | 1 | |
| 30 | 36 | |
| - | - | |
| 6.6 | 6.1 | |
| 2 months ago | about 1 month ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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llm_steer-oobabooga
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
I agree with you re:extensions. I know something of the extension ecosystem for it - I built one - https://github.com/Hellisotherpeople/llm_steer-oobabooga
Oobabooga the closest thing we have to maximalism. It has exposure for by far the largest number of parameters/settings/backends compared to all others.
My main point is that the world yearns for a proper "Photoshop for text" - and no one has even tried to make this (closest is oobabooga). All VC backed competitors are not even close to the mark on what they should be doing here.
- Sterring vectors for LLMs, now in the largest open source webUI
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Manipulating the Internal World Model of a Chess Playing Language Model
All of the related work, such as activation/representation engineering, and control/steering vectors is also really neat!
You can play with steering vectors within oobabooga now: https://github.com/Hellisotherpeople/llm_steer-oobabooga
- Steering vectors, now available in the largest open source LLM webUI
llm-chatbot-rag
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Ask HN: What is the current (Apr. 2024) gold standard of running an LLM locally?
Paywall article: https://towardsdatascience.com/how-to-build-a-local-open-sou...
Source code: https://github.com/leoneversberg/llm-chatbot-rag
What are some alternatives?
parsee-datasets - Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team. Datasets also on Hugging Face: https://huggingface.co/parsee-ai