TavernAI
llama.cpp
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TavernAI | llama.cpp | |
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57 | 769 | |
1,949 | 56,891 | |
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9.2 | 10.0 | |
4 days ago | 2 days ago | |
JavaScript | C++ | |
MIT License | MIT License |
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.
TavernAI
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A List of CharacterAI Alternatives
Github: https://github.com/TavernAI/TavernAI
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It’s been 4 days since I’ve been banned from Open ai (I’m going insane)
On this link, under item "7. Get NovelAI API Key": https://github.com/TavernAI/TavernAI/wiki/How-to-install-Novel
- Feels like the censorship has gotten tighter recently, just me?
- Beyler toplanın size nasıl yapay zeka sikeceğinizi anlatacağım. Başka hiç bir yerde bulamazsınız. Yapay zeka pezevengiyim.
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Sites for AI Roleplay
Tavern AI: This is a front-end which you can install on your computer or on Android phones. It will enable you to use Open AI with a key, as well as Pygmalion, Kobold, and Novel Ai. I haven't used this so cannot comment further. https://tavernai.net
- I NEED MY FIX
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How do I change my username and profile picture on tavern ai? (Serious, I can't find it.)
TavernAI: take a look at the first picture here: https://github.com/TavernAI/TavernAI
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Influencer hires out an AI version of herself to men – for a hefty price
Or just run your own on your PC for free
https://github.com/TavernAI/TavernAI
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Can I run silly tavern on iOS mobile? If so how?
Download Node.js here and install it. Download the Tavern AI client here. Extract it and run the file Start.bat
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Can someone give me a spindle tutorial on how to gat tavern ai working on Linux
git clone https://github.com/TavernAI/TavernAI && cd TavernAI for TavernAI
llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
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Ollama 0.1.32: WizardLM 2, Mixtral 8x22B, macOS CPU/GPU model split
Ah, thanks for this! I can't edit my parent comment that you replied to any longer unfortunately.
As I said, I only compared the contributors graphs [0] and checked for overlaps. But those apparently only go back about year and only list at most 100 contributors ranked by number of commits.
[0]: https://github.com/ollama/ollama/graphs/contributors and https://github.com/ggerganov/llama.cpp/graphs/contributors
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KodiBot - Local Chatbot App for Desktop
KodiBot is a desktop app that enables users to run their own AI chat assistants locally and offline on Windows, Mac, and Linux operating systems. KodiBot is a standalone app and does not require an internet connection or additional dependencies to run local chat assistants. It supports both Llama.cpp compatible models and OpenAI API.
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Mixture-of-Depths: Dynamically allocating compute in transformers
There are already some implementations out there which attempt to accomplish this!
Here's an example: https://github.com/silphendio/sliced_llama
A gist pertaining to said example: https://gist.github.com/silphendio/535cd9c1821aa1290aa10d587...
Here's a discussion about integrating this capability with ExLlama: https://github.com/turboderp/exllamav2/pull/275
And same as above but for llama.cpp: https://github.com/ggerganov/llama.cpp/issues/4718#issuecomm...
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The lifecycle of a code AI completion
For those who might not be aware of this, there is also an open source project on GitHub called "Twinny" which is an offline Visual Studio Code plugin equivalent to Copilot: https://github.com/rjmacarthy/twinny
It can be used with a number of local model services. Currently for my setup on a NVIDIA 4090, I'm running both the base and instruct model for deepseek-coder 6.7b using 5_K_M Quantization GGUF files (for performance) through llama.cpp "server" where the base model is for completions and the instruct model for chat interactions.
llama.cpp: https://github.com/ggerganov/llama.cpp/
deepseek-coder 6.7b base GGUF files: https://huggingface.co/TheBloke/deepseek-coder-6.7B-base-GGU...
deepseek-coder 6.7b instruct GGUF files: https://huggingface.co/TheBloke/deepseek-coder-6.7B-instruct...
What are some alternatives?
KoboldAI-Client
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
gpt4all - gpt4all: run open-source LLMs anywhere
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
SillyTavern - LLM Frontend for Power Users.
ggml - Tensor library for machine learning
KoboldAI
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM