DeepSpeed-MII
petals
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| DeepSpeed-MII | petals | |
|---|---|---|
| 6 | 98 | |
| 1,629 | 8,661 | |
| 7.0% | 2.5% | |
| 8.7 | 8.5 | |
| 6 days ago | 12 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.
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.
DeepSpeed-MII
- Stable Diffusion plus DeepSpeed
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[D] When chatGPT stops being free: Run SOTA LLM in cloud
Microsoft/DeepSpeed-MII for an up 40x reduction on inference cost on Azure, this thing also supports int8 and fp16 bloom out of the box, but it fails on Azure due to instance size.
- Image Creation Time for each GPU.
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Anyone tried DeepSpeed-MII with stablediffusion?
Haven't tried it yet but they have some example code here: https://github.com/microsoft/DeepSpeed-MII/blob/main/examples/local/txt2img-example.py
- [P] Pure C/C++ port of OpenAI's Whisper
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?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
llama - Inference code for Llama models
AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
whisper-rs - Rust bindings to https://github.com/ggerganov/whisper.cpp
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
rocm-gfx803
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.