LaVague VS mergekit

Compare LaVague vs mergekit and see what are their differences.

LaVague

Large Action Model framework to turn natural language into browser actions (by lavague-ai)

mergekit

Tools for merging pretrained large language models. (by arcee-ai)
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LaVague mergekit
4 6
3,965 3,521
13.4% 18.7%
9.5 9.2
1 day ago 5 days ago
Python Python
Apache License 2.0 GNU Lesser 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.

LaVague

Posts with mentions or reviews of LaVague. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

mergekit

Posts with mentions or reviews of mergekit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.

What are some alternatives?

When comparing LaVague and mergekit you can also consider the following projects:

skyvern - Automate browser-based workflows with LLMs and Computer Vision

Finetune_LLMs - Repo for fine-tuning Casual LLMs

lorabridge - Long-Range Data Bridge (LoRaBridge) project repository

xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

flink-sql-lineage - The Lineage Analysis system for FlinkSQL supports advanced syntax such as Watermark, UDTF, CEP, Windowing TVFs, and CTAS.

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

spring-ai - An Application Framework for AI Engineering

task_vectors - Editing Models with Task Arithmetic

difftastic - a structural diff that understands syntax 🟥🟩

makeMoE - From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)

examples - This repository will contain examples of use cases that utilize Decodable streaming solution

Chinese-LLaMA-Alpaca - 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)