localLLM_guidance
BrainChulo
localLLM_guidance | BrainChulo | |
---|---|---|
3 | 10 | |
147 | 140 | |
- | 0.7% | |
4.2 | 9.0 | |
12 months ago | 7 months ago | |
Jupyter Notebook | Python | |
- | MIT License |
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localLLM_guidance
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LlamaCPP and LangChain Agent Quality
If you refer to React agent, you can check this link
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I made a simple agent demo with Guidance and wizard-mega-13B-GPTQ, feel quite promising.
Also, you can compare Langchain and Guidance here: Guidance Agent and Langchain Agent
BrainChulo
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Alternative to LangChain for open LLMs?
On BrainChulo, we’re going 100% guidance mode, see for instance an implementation of Chain of Thoughts on top of a thin guidance wrapper: https://github.com/ChuloAI/BrainChulo/blob/main/app/guidance_tooling/guidance_agent/agent.py
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Running local LLM for info retrieval of technical documents
Awesome resource! If I may suggest that you'd add one, some friends and I are working on data retrieval with llm project as well, with our differentiating marker being that we are trying to implement guidance in order to improve the agent efficiency. If you guys wanna take a look :) https://github.com/ChuloAI/BrainChulo
- LlamaCPP and LangChain Agent Quality
- Training a 13B LLaMA on information from documents.
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Chat with Documents using Open source LLMs
Plug: https://github.com/iGavroche/BrainChulo - BrainChulo currently works on top of Ooba but uses its own UI interface. Its first goal is to provide a production-level way to do Retrieveal Augmentation on Open Source LLMs via vector stores and good prompt engineering.
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What features would everyone like to see in oog?
Regarding this, I've joined a project that is doing some nice progress on this front. Still WIP but we're getting there, checkout BrainChulo :)
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7B models use with Langchainn for Chatbox importing of txt or pdf's
This is exactly what BrainChulo aims to do. You should check it out: https://github.com/CryptoRUSHGav/BrainChulo/ and feel free to drop on the discord to give us your feedback, your use-case, or if you need help getting started.
- [Local Llama] Aggiunta di memoria a lungo termine a LLM personalizzati: domiamo Vicuna insieme!
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adding models to oobabooga
The download script is broken. I posted a working version on my repo: https://github.com/CryptoRUSHGav/BrainChulo
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Adding Long-Term Memory to Custom LLMs: Let's Tame Vicuna Together!
I'm hoping that many of you brilliant people can join me in our common quest to add long-term memory to our favorite camelid, Vicuna. The repository is called BrainChulo, and it's just waiting for your contributions.
What are some alternatives?
llama-cpp-python - Python bindings for llama.cpp
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
outlines - Structured Text Generation
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
guidance - A guidance language for controlling large language models.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
localLLM_langchain - Local LLM Agent with Langchain
long_term_memory - A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, and Pygmalion.
ReAct - [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
gpt-llama.cpp - A llama.cpp drop-in replacement for OpenAI's GPT endpoints, allowing GPT-powered apps to run off local llama.cpp models instead of OpenAI.