BrainChulo VS gptq_for_langchain

Compare BrainChulo vs gptq_for_langchain and see what are their differences.

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BrainChulo gptq_for_langchain
10 2
143 40
2.1% -
9.0 4.0
8 months ago 10 months ago
Python Jupyter Notebook
MIT License GNU General Public License v3.0 only
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.

BrainChulo

Posts with mentions or reviews of BrainChulo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.

gptq_for_langchain

Posts with mentions or reviews of gptq_for_langchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-06.

What are some alternatives?

When comparing BrainChulo and gptq_for_langchain you can also consider the following projects:

gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs

learn-langchain

guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]

Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

andromeda-chain - Serving hugging face guidance behind a server

outlines - Structured Text Generation

visio-gptq

long_term_memory - A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, and Pygmalion.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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.

langchain-tutorials - Overview and tutorial of the LangChain Library

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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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