brev-cli
FastChat
| brev-cli | FastChat | |
|---|---|---|
| 7 | 83 | |
| 197 | 34,514 | |
| 1.0% | 4.3% | |
| 7.9 | 9.6 | |
| 4 days ago | 6 days ago | |
| Go | Python | |
| MIT License | Apache License 2.0 |
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brev-cli
- Brev: Start fine-tuning and training models in < 10 minutes
- OpenLLaMA: An Open Reproduction of LLaMA
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Using the cloud or buying a GPU
I don't have a PC right now that will run StableDiffusion. I can build one but I think I'm going to need a pretty powerful GPU which I'm not sure I can afford right now. I started using something called Brev https://brev.dev/ (no, I don't work there just found it searching). It's pretty affordable and super easy to setup.
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is there a good guide on how to train an ai to simulate your own art work?
I just finished listening to an episode of the Practical AI podcast, where they talked with Nader Khalil from brev.dev. They talked a little bit about setting up dreambooth and training it with ten images in about 4 minutes. I havent tested it, but it is worth a try. Brev.dev is a way to set up virtual machines and developement environments. Would love to heard from people who have used it.
- New AI edits images based on text instructions (instructPix2Pix/imaginAIry)
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Tensorbook
R.I.P. battery.
Personally I've been using Brev [1] to do my cloud training, you get a cloud GPU instance that you can upgrade/downgrade on the fly, and makes supports VS Code out of the box.
[1] https://brev.dev/
- Brev
FastChat
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GPT4.5 or GPT5 being tested on LMSYS?
gpt2-chatbot isn't the only "mystery model" on LMSYS. Another is "deluxe-chat".
When asked about it in October last year, LMSYS replied [0] "It is an experiment we are running currently. More details will be revealed later"
One distinguishing feature of "deluxe-chat": although it gives high quality answers, it is very slow, so slow that the arena displays a warning whenever it is invoked
[0] https://github.com/lm-sys/FastChat/issues/2527
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LLMs on your local Computer (Part 1)
FastChat
- FLaNK AI for 11 March 2024
- FLaNK 04 March 2024
- ChatGPT for Teams
- FastChat: An open platform for training and serving large language models
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LM Studio – Discover, download, and run local LLMs
How does it compare with something like FastChat? https://github.com/lm-sys/FastChat
Feature set seems like a decent amount of overlap. One limitation of FastChat, as far as I can tell, is that one is limited to the models that FastChat supports (though I think it would be minor to modify it to support arbitrary models?)
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Video-LLaVA
Looks like the Vicuna repo is Apache 2.0 also[1].
What's the interpretation of copyright law that would prevent the code being Apache 2.0 based on the source of the fine-tuning dataset?
[1] https://github.com/lm-sys/FastChat
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🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
Check how to start with FastChat. Support FastChat on GitHub ⭐
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Show HN: ChatAPI – PWA to Use ChatGPT by API Build with Alpine.js
For something a little heavier but much more robust in terms of features/functionality I've been enjoying FastChat: https://github.com/lm-sys/FastChat
It allows you to plug in different backends so that you can use OpenAI compatible clients with various LLM's, selfhosted or otherwise.
What are some alternatives?
EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
sd_dreambooth_extension
llama.cpp - LLM inference in C/C++
SRNet - A tensorflow reproducing of paper “Editing Text in the wild”
gpt4all - gpt4all: run open-source LLMs anywhere
open_llama - OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
stable-diffusion-webui - Stable Diffusion web UI
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
modal-examples - Examples of programs built using Modal
llama-cpp-python - Python bindings for llama.cpp