CogView2
petals
| CogView2 | petals | |
|---|---|---|
| 11 | 98 | |
| 929 | 8,684 | |
| 1.6% | 1.5% | |
| 0.0 | 8.3 | |
| almost 2 years ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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CogView2
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Wiskkey's lists of text-to-image systems and related resources
(Tier 2) CogView2.
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[R] CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Except folks have tried to run it on a 3090 and failed, due to the puny 24GB RAM on those cards. You can still run it on that hardware with an "only-first-stage" setting, but you won't get the full effect.
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CogView2 web app is available at site replicate.com
CogView2 GitHub repo.
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DALL-E 2 alternative: CogView2 checkpoints now available for download: best released text2image model (9b Transformer)
a few more high-res samples [~4 MB pdf]
- CogView2 checkpoints now available for download: best released text2image model (9b Transformer)
- CogView2: A 24 billion parameter text-to-image generation model
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CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
https://github.com/THUDM/CogView2
petals
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Mistral Large
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
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Distributed Inference and Fine-Tuning of Large Language Models over the Internet
Can check out their project at https://github.com/bigscience-workshop/petals
- Make no mistake—AI is owned by Big Tech
- Would you donate computation and storage to help build an open source LLM?
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Run 70B LLM Inference on a Single 4GB GPU with This New Technique
There is already an implementation along the same line using the torrent architecture.
https://petals.dev/
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Run LLMs in bittorrent style
Check it out at Petals.dev. Chatbot
- Is distributed computing dying, or just fading into the background?
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Ask HN: Are there any projects currently exploring distributed AI training?
https://github.com/bigscience-workshop/petals
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Mistral 7B,The complete Guide of the Best 7B model
https://github.com/bigscience-workshop/petals
Inference only: https://lite.koboldai.net/
- Run LLMs at home, BitTorrent‑style
What are some alternatives?
CogView - Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
llama - Inference code for Llama models
Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models
alpaca-lora - Instruct-tune LLaMA on consumer hardware
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)