lollms-webui
pythia
| lollms-webui | pythia | |
|---|---|---|
| 7 | 7 | |
| 4,019 | 2,108 | |
| 5.4% | 3.2% | |
| 9.9 | 7.8 | |
| 9 days ago | 11 days ago | |
| Vue | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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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.
lollms-webui
- Show HN: I made an app to use local AI as daily driver
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What is the best text web ui currently?
anyone know what has the most models supported & fastest web ui? or atleast what everyone is using. Ive seen https://github.com/oobabooga/text-generation-webui and https://github.com/ParisNeo/lollms-webui.
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Stable Diffusion Backups, git/lfs alternatives, OpenAI's attack on Open Source
I used this: https://github.com/nomic-ai/gpt4all-ui
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Any ideas to play around AI projects?
Gpt4all is a self hosted version of chatgpt
- Local Alternatives of ChatGPT and Midjourney
- A self-hostable ChatGPT like LLM based chatbot with web UI
pythia
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If you can't reproduce the model then it's not open-source
You can grep for bad words. What you can't do(unless hoops are jumped through) is to verify that weights came from the same dataset. You can set the same random seed and still get different results. Calculations are not that deterministic. (https://pytorch.org/docs/stable/notes/randomness.html#reprod...).
>I am overall skeptical that this is true in the case of LLMs
This skepticism seems reasonable. EleutherAI have documentation to reproduce training (https://github.com/EleutherAI/pythia#reproducing-training). So far I haven't seen it leading to anything.
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Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- Ask HN: Open source LLM for commercial use?
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A New AI Research Proposes Pythia: A Suite of Decoder-Only Autoregressive Language Models Ranging from 70M to 12B Parameters
Github: https://github.com/EleutherAI/pythia
- Pythia: Interpreting Autoregressive Transformers Across Time and Scale
- AI computing startup Cerebras releases open source ChatGPT-like models
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Is there a way to easily train ChatGPT or GPT on custom knowledge?
Pythia is another smaller option that seems to have pretty good performance. As well as FLAN. Both of those are okay for commercial use AFAIK (though double check for yourself).
What are some alternatives?
SillyTavern-Extras - Extensions API for SillyTavern.
geov - The GeoV model is a large langauge model designed by Georges Harik and uses Rotary Positional Embeddings with Relative distances (RoPER). We have shared a pre-trained 9B parameter model.
SillyTavern - LLM Frontend for Power Users.
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
text-generation-webui - A Gradio web UI for Large Language Models.
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion-webui - Stable Diffusion web UI
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
simple-proxy-for-tavern
stable-diffusion-webui-docker - Easy Docker setup for Stable Diffusion with user-friendly UI
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.