chatgpt-web
safetensors
chatgpt-web | safetensors | |
---|---|---|
10 | 31 | |
1,713 | 2,472 | |
- | 4.8% | |
9.3 | 8.2 | |
2 days ago | 5 days ago | |
Svelte | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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.
chatgpt-web
- GPT 4 new limits only 40 messages in 3 days
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Llamafile lets you distribute and run LLMs with a single file
Wow, this is almost as good as chatgpt-web [0], and it works offline and is free. Amazing.
In case anyone here hasn't used chatgpt-web, I recommend trying it out. With the new GPT-4 models you can chat for way cheaper than paying for ChatGPT Plus, and you can also switch back to the older (non-nerfed) GPT-4 models that can still actually code.
[0]: https://github.com/Niek/chatgpt-web
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best front end for API
Came across this: https://github.com/Niek/chatgpt-web
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GPT4 Web Page that uses API Tokens
I tried asking AutoGPT to do it, but it spins its wheels. It can't even seem to access the folder, and I'm not running it in a docker. So I've given up on trying to code it myself. https://niek.github.io/chatgpt-web/ is basically what I need, but with GPT4, since 3.5 is already free.
- Show HN: SlickGPT
- Why somebody didn't already made an alternative client to chat.openai.com?
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Easiest way to use GPT 3.5 on a desktop / mobile client?
And if you wanna just try it out they have it up on https://niek.github.io/chatgpt-web/
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Yep...
Basically, with API, you pay per message. You can just enable it and try it out on a front-end like https://niek.github.io/chatgpt-web/ .
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Show HN: Chat with GPT, a self-hosted open-source ChatGPT UI
Looks great! I have something very similar:
https://github.com/Niek/chatgpt-web
safetensors
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Llamafile lets you distribute and run LLMs with a single file
The ML field is doing work in that area: https://github.com/huggingface/safetensors
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Hugging Face raises $235M from investors including Salesforce and Nvidia
FYI the file format, safetensors, was proposed, developed and maintained by HF, and involved people from groups such as Eleuther and Stability for external security audits.
https://github.com/huggingface/safetensors https://huggingface.co/blog/safetensors-security-audit
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I Made Stable Diffusion XL Smarter by Finetuning It on Bad AI-Generated Images
Thank you for note on this. I had not heard there were already trojan horse malware being slipped into tensor files as python scripts. Apparently torch pickle uses eval on the tensor file with no filter.
Heard surprisingly little commentary on this topic. The full explanation of how Safetensors are "Safe" can be found from the developer at: https://github.com/huggingface/safetensors/discussions/111
- Pickle safety in Python
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What makes .safetensors files safe?
Here the developer goes into some detail about what kinds of protections .safetensor files have : https://github.com/huggingface/safetensors/discussions/111
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Security PSA: huggingface models are code. not just data.
Use the safetensors format, which allows safe persistence and loading of models for common libraries - TensorFlow, PyTorch, JAX, etc. We went through external audits in the last few months (blog post). The current direction will be to have this as the default format.
- What's your favorite model. Right now I'm really enjoying dreamshaper.
- Lora, ggml, safetensors, hf, etc. Is there a glossary and guide on which model to choose?
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Stability AI Launches the First of Its StableLM Suite of Language Models
I've been diving in lately and while it's not efficient, the only way to do manage is to create a new conda/mamba environment, or a custom Docker image for all the conflicting packages.
For safety and speed, you should prefer the safetensor format: https://huggingface.co/docs/safetensors/speed
If you know what you are doing you can do your own conversions: https://github.com/huggingface/safetensors or for safety, https://huggingface.co/spaces/diffusers/convert
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CKPT to Safetensors
GitHub - huggingface/safetensors: Simple, safe way to store and distribute tensors
What are some alternatives?
dalai - The simplest way to run LLaMA on your local machine
stable-diffusion-webui - Stable Diffusion web UI
llamafile - Distribute and run LLMs with a single file.
llama.cpp - LLM inference in C/C++
askai - Your simple terminal helper - A CLI integration with OpenAI's GPT3
Safe-and-Stable-Ckpt2Safetensors-Conversion-Tool-GUI - Convert your Stable Diffusion checkpoints quickly and easily.
slickgpt - SlickGPT is a light-weight "use-your-own-API-key" web client for the OpenAI API written in Svelte. It offers GPT-4 integration, a userless share feature and other superpowers.
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.
askai - Command Line Interface for OpenAi ChatGPT
Stable-Diffusion-Pickle-Scanner-GUI - Pickle Scanner GUI
plurality - A cornucopia of open source UIs built with ChatGPT API.
stable-diffusion-webui-model-toolkit - A Multipurpose toolkit for managing, editing and creating models.