LLM-As-Chatbot
petals
| LLM-As-Chatbot | petals | |
|---|---|---|
| 3 | 98 | |
| 3,242 | 8,710 | |
| - | 1.8% | |
| 9.0 | 8.3 | |
| 6 months ago | 16 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.
LLM-As-Chatbot
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OpenAI's GPT-4 Red Teamer Nathan Labenz: the GPT-4 base model recommends assassinating humans, naming specific targets
The first one is from https://github.com/deep-diver/Alpaca-LoRA-Serve
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Show HN: ChatLLaMA – A ChatGPT style chatbot for Facebook's LLaMA
this is useless because it doesn't handle context:
Q: Name five genres of music.
A: Jazz, country, hip-hop, blues, classical.
Q: Name a famous artist from the third genre.
A: Salvador DalĂ.
Whereas this one actually supports context: https://github.com/deep-diver/Alpaca-LoRA-Serve
- Show HN: Finetune LLaMA-7B on commodity GPUs using your own text
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?
alpaca-lora - Instruct-tune LLaMA on consumer hardware
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
simple-llm-finetuner - Simple UI for LLM Model Finetuning
llama - Inference code for Llama models
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
hh-rlhf - Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
alpaca-7b-truss
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.