TavernAI
llama.cpp
TavernAI | llama.cpp | |
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17 | 776 | |
76 | 57,463 | |
- | - | |
10.0 | 10.0 | |
about 1 year ago | 6 days ago | |
JavaScript | C++ | |
- | MIT License |
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TavernAI
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Trying to download SillyTavern on Termux: Username for 'https://github.com":
I keep getting this last code after I input "git clone https://github.com/SillyLossy/TavernAI" what am I supposed to do..?
- How to get and use the Poe API/p-b cookie for SillyTavern through Kiwi Browser, Another 10 Step Android Guide
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Dark future of AI generated girls
It's already the case with games like Silly Tavern https://github.com/SillyLossy/TavernAI and AI girls that are created on https://www.characterhub.org for AI personalities. Basically 4chan people use open source AI models like meta's Llama.cpp to create horny personalities to interact with, and use local models with SD to create big boobed waifus.
- 玩ai角色扮演导了一下午,一步步道德绑架纯洁少女和你做爱
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SillyTavern Android, 10 Quick Step Guide.
1) Download Termux scroll down and look for download apk, install it. 2) Type in or copy and paste and hit enter apt update Enter, Press y to anything that comes up 3) Type in or copy and paste and hit enter apt update Enter, Press y to anything that comes up 4) Type in or copy and paste and hit enter pkg install git 5) Type in or copy and paste and hit enter git clone https://github.com/SillyLossy/TavernAI 6) Optional to get the most updated stuff add the dev branch if you just want it basic just skip this step Type in or copy and paste and hit enter git clone -b dev https://github.com/SillyLossy/TavernAI 7) Type in or copy and paste and hit enter cd SillyTavern The caps and lowercase HAS to specifically be this way. If you get green /SillyTavern you did it correctly. 8) Type in or copy and paste and hit enter pkg install nodejs 9) Type in or copy and paste and hit enter npm install 10) Type in or copy and paste and hit enter node server.js It should open your browser. You have correctly installed SillyTavern onto Termux. Under the plug you can click this link https://platform.openai.com/account/api-keys sign in and copy paste the link/api key
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Comparing models: GPT4xAlpaca, Vicuna, and OASST
But if you're really serious about chatting, the best experience is definitely with TavernAI. It's just a frontend so you still run the AI using oobabooga's textgen or one of the *cpp engines, but because it's entirely focused on chatting, its chat capabilities are much more advanced.
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KoboldCpp - Combining all the various ggml.cpp CPU LLM inference projects with a WebUI and API (formerly llamacpp-for-kobold)
Have you tried to talk to both at the same time? With TavernAI group chats are actually possible. The current version isn't compatible with koboldcpp, but the dev version has a fix, and I'm just getting started playing around with it.
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What.
That looks like Cohee's TavernAI fork! https://github.com/SillyLossy/TavernAI
- Creating characters for TavenAI
- Jesus fucking christ what happened here?
llama.cpp
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IBM Granite: A Family of Open Foundation Models for Code Intelligence
if you can compile stuff, then looking at llama.cpp (what ollama uses) is also interesting: https://github.com/ggerganov/llama.cpp
the server is here: https://github.com/ggerganov/llama.cpp/tree/master/examples/...
And you can search for any GGUF on huggingface
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Ask HN: Affordable hardware for running local large language models?
Yes, Metal seems to allow a maximum of 1/2 of the RAM for one process, and 3/4 of the RAM allocated to the GPU overall. There’s a kernel hack to fix it, but that comes with the usual system integrity caveats. https://github.com/ggerganov/llama.cpp/discussions/2182
- Xmake: A modern C/C++ build tool
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into 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
What are some alternatives?
SillyTavern - LLM Frontend for Power Users.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
gpt4all - gpt4all: run open-source LLMs anywhere
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
TavernAI-extras - Extensions API for SillyTavern [Moved to: https://github.com/Cohee1207/SillyTavern-extras]
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
ggml - Tensor library for machine learning
Spermack
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM