guidance
A guidance language for controlling large language models. (by Maximilian-Winter)
| guidance | gptq-cuda-api | |
|---|---|---|
| 6 | 2 | |
| 43 | 19 | |
| - | - | |
| 9.0 | 3.9 | |
| 11 months ago | 11 months ago | |
| Jupyter Notebook | Python | |
| MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
guidance
Posts with mentions or reviews of guidance.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-26.
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Would local LLMs in the future be able to run an Ai powered single player roleplaying adventure game in a customized world?
There is also a fork to allow easy use with llama.cpp: https://github.com/Maximilian-Winter/guidance (use his matching llama-cpp-python fork as well). You can also use it with GPTQ for GPU-accelerated GPTQ-quantized models.
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Can someone explain why there isn't a good interface for the oobabooga api in langchain?
Did you see that someone had ported guidance to llamacpp? I saw someone trying to make it happen with ooga but I don't think they are as far as the llamacpp guy got. https://github.com/Maximilian-Winter/guidance
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Best model for game "AI agent"?
Something like this with Manticore13B or some of the models you've already tried: https://github.com/Maximilian-Winter/guidance
- Hi community, I created a fork of microsoft's guidance and added llama-cpp-python support!
gptq-cuda-api
Posts with mentions or reviews of gptq-cuda-api.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-25.
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Example of how to run GPTQ models on multiple GPUs
Here is the repository with minimal code required to run GPTQ on multiple GPUs https://github.com/mzbac/gptq-cuda-api
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Can someone explain why there isn't a good interface for the oobabooga api in langchain?
oobabooga has to support way too many models, so making the whole thing unnecessarily complicated. If you have some development experience, maybe you would build your own API in a few lines of Python code. It's not hard if you build from scratch and learn along the way. I have built some example repositories for hosting GPTQ-related models. You can have a look at them. https://github.com/mzbac/GPTQ-for-LLaMa-API https://github.com/mzbac/gptq-cuda-api
What are some alternatives?
When comparing guidance and gptq-cuda-api you can also consider the following projects:
agnai - AI Agnostic (Multi-user and Multi-bot) Chat with Fictional Characters. Designed with scale in mind.
AutoGPTQ - An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
llama-cpp-python - Python bindings for llama.cpp
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
AgentOoba - An autonomous AI agent extension for Oobabooga's web ui
GPTQ-for-LLaMa-API - Provide a way to use the GPT-QLLama model as an API
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
learn-langchain