SillyTavern
llama.cpp
| SillyTavern | llama.cpp | |
|---|---|---|
| 76 | 773 | |
| 5,930 | 57,463 | |
| 8.5% | - | |
| 10.0 | 10.0 | |
| 5 days ago | about 5 hours ago | |
| JavaScript | C++ | |
| GNU Affero General Public License v3.0 | MIT License |
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SillyTavern
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Claude 3 beats GPT-4 on Aider's code editing benchmark – aider
Right, but it's certainly easier for people who might not even know what "API" stands for, and that's quite nifty. As far as self-hosted frontends go, I can personally recommend SillyTavern[1] in the browser, ChatterUI[2] on mobile, and ShellGPT[3] for CLI. LobeChat looks pretty cool, though! I'll definitely check it out.
[1] https://github.com/SillyTavern/SillyTavern
[2] https://github.com/Vali-98/ChatterUI
[3] https://github.com/TheR1D/shell_gpt
- FLaNK AI for 11 March 2024
- Show HN: I made an app to use local AI as daily driver
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Group chats vs online defined characters, token efficiency question
I don't think there is any enumeration for {{char}} macros. Here is some good discussion on the subject.
- SillyTavern 1.11.0 has been released
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Is possible to run local voice chat agent? If yes what GPU do i Need with 500€ budget?
As for SillyTavern, you need the main SillyTavern frontend and SillyTavern-extras (for TTS, STT, etc.) They're pretty easy to install. SillyTavern connects to oobabooga and SillyTavern-extras via API.
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What do you use to run your models?
Finally, no matter what backend I use, I need it to be compatible with my power-user frontend, SillyTavern. That way I always use the same UI, with the characters I created and extensions I want, e. g. web search, XTTS text-to-speech and Whisper speech recognition for real-time voice chat - and all of that local!
- SillyTavern 1.10.10 has been released
- LM Studio – Discover, download, and run local LLMs
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🐺🐦⬛ LLM Comparison/Test: Mistral 7B Updates (OpenHermes 2.5, OpenChat 3.5, Nous Capybara 1.9)
SillyTavern v1.10.5 frontend (not the latest as I don't want to upgrade mid-test)
llama.cpp
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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
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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
What are some alternatives?
TavernAI - TavernAI for nerds [Moved to: https://github.com/Cohee1207/SillyTavern]
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
character-editor - Create, edit and convert AI character files for CharacterAI, Pygmalion, Text Generation, KoboldAI and TavernAI
gpt4all - gpt4all: run open-source LLMs anywhere
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
SillyTavern-extras - Extensions API for SillyTavern [Moved to: https://github.com/SillyTavern/SillyTavern-extras]
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
ggml - Tensor library for machine learning
SillyTavern-Extras - Extensions API for SillyTavern.
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM