signal-aichat
WizardVicunaLM
signal-aichat | WizardVicunaLM | |
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6 | 12 | |
72 | 707 | |
- | - | |
7.3 | 6.8 | |
25 days ago | 12 months ago | |
Python | ||
GNU Affero General Public License v3.0 | - |
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signal-aichat
- AI Applications/tools with OpenAI API support? [Examples]
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Looking for self-hosted tools with OpenAI API support
I released a chatbot for Signal the other day that supports ChatGPT and local llama.cpp models via the OpenAI API. Bing Chat works as well, but that's a separate API.
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Weekly Megathread
https://github.com/cycneuramus/signal-aichat - An AI chatbot for Signal powered by Bing Chat, ChatGPT, and llama.cpp
- cycneuramus/signal-aichat: An AI chatbot for Signal powered by Bing Chat, ChatGPT, and llama.cpp
- signal-aichat: Chatbot for Signal with support for llama.cpp compatible LLM's (and ChatGPT, Bing Chat)
- signal-aichat: Hit up your selfhosted LLM models (or ChatGPT, or Bing Chat) directly from Signal
WizardVicunaLM
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WizardLM-13B-V1.0-Uncensored
HELP! I need some clarification. I'm familiar with Wizard-Vicuna-13b-Uncensored which is EHartford's uncensoring of WizardVicunaLM.
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Ask HN: Should I cancel my GPT-4 subscription and get Copilot instead?
> I’m also open to open source models but I hear they’re not even as good as gpt3.5.
WizardVicunaLM claims ~97% performance relative to GPT3.5: https://github.com/melodysdreamj/WizardVicunaLM
It's not particularly great at generating code, but it's uncensored and writes fantastic prose. I've been using it for the last week and I'm really satisfied with where it stands.
> It’s sad that we’re stuck in this monopoly of powerful LLMs.
Won't anyone just sponsor a few months of dedicated GPU training, finetuning and quantizing so they can be held legally accountable for it's output?
I wouldn't hold my breath.
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Wizard-Vicuna-30B-Uncensored
Also, just noticed that you may have forgotten to update the readme, which references 13b, not 30b, thought maybe that was intentional. (If you linked directly to the Github ("WizardVicunaLM"), that would make it a bit easier for people like me to follow))
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Where we’re at with self-hosted AI today?
There are a lot of options. Right now I'm using WizardVicunaLM to great success: https://github.com/melodysdreamj/WizardVicunaLM
It combines the uncensored WizardLM data with the Vicuna tuning to create a surprisingly high-performance model. If the chart on their GitHub page is to be believed, their model approaches GPT-3.5 performance.
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WizardLM-30B-Uncensored
Here is the codebase and dataset for WizardVicuna https://github.com/melodysdreamj/WizardVicunaLM https://github.com/lm-sys/FastChat https://huggingface.co/datasets/RyokoAI/ShareGPT52K
- LLM that combines the principles of wizardLM and vicunaLM
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[P] airoboros 7b - instruction tuned on 100k synthetic instruction/responses
I used the same questions from WizardVicunaLM:
- Is there a "rut" that we're in on the way to general AI?
- WizardLM-13B-Uncensored
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Weekly Megathread
https://github.com/melodysdreamj/WizardVicunaLM - Combining WizardLM and Vicuña Principle. Made by u/Clear-Jelly2873
What are some alternatives?
yal-discord-bot - Yet Another LLaMA/ALPACA Discord Bot
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
Auto-GPT-Plugins - Plugins for Auto-GPT
llama.cpp - LLM inference in C/C++
chat-llama-discord-bot - A Discord Bot for chatting with LLaMA, Vicuna, Alpaca, MPT, or any other Large Language Model (LLM) supported by text-generation-webui or llama.cpp.
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
nsfw-prompt-detection-sd - NSFW Prompt Detection for Stable Diffusion
realtime-bakllava - llama.cpp with BakLLaVA model describes what does it see
shap-e - Generate 3D objects conditioned on text or images