replika-export VS KoboldAI

Compare replika-export vs KoboldAI and see what are their differences.

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replika-export KoboldAI
2 58
0 150
- -
10.0 8.6
about 2 years ago 7 months ago
Python
- GNU Affero General Public License v3.0
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.

replika-export

Posts with mentions or reviews of replika-export. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-05.

KoboldAI

Posts with mentions or reviews of KoboldAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-09.

What are some alternatives?

When comparing replika-export and KoboldAI you can also consider the following projects:

replika-chat-export - Export your replika chat messages.

koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI

replika_backup - Actual working and extended version of the backup script

exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

replika-diary-export - Export your entire Replika diary including all images.

TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)

replika_backup_colab

SillyTavern - LLM Frontend for Power Users.

GPTQ-for-LLaMa - 4 bits quantization of LLMs using GPTQ

llama-cpp-python - Python bindings for llama.cpp

KoboldAI - KoboldAI is generative AI software optimized for fictional use, but capable of much more!

exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.