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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.
Using --deepspeed requires lots of manual tweaking
3 projects | reddit.com/r/Oobabooga | 11 May 2023
Filed a discussion item on the deepspeed project: https://github.com/microsoft/DeepSpeed/discussions/35313 projects | reddit.com/r/Oobabooga | 11 May 2023
Solution: I don't know; this is where I am stuck. https://github.com/microsoft/DeepSpeed/issues/1037 suggests that I just need to 'apt install libaio-dev', but I've done that and it doesn't help.
Whether the ML computation engineering expertise will be valuable, is the question.
2 projects | reddit.com/r/LanguageTechnology | 21 Apr 2023
There could be some spectrum of this expertise. For instance, https://github.com/NVIDIA/FasterTransformer, https://github.com/microsoft/DeepSpeed
FLiPN-FLaNK Stack Weekly for 17 April 2023
12 projects | dev.to | 17 Apr 2023
DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models
2 projects | news.ycombinator.com | 12 Apr 2023
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models
2 projects | news.ycombinator.com | 12 Apr 2023
12-Apr-2023 AI Summary
2 projects | reddit.com/r/u_sann540 | 11 Apr 2023
DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales (https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-chat)
2 projects | news.ycombinator.com | 11 Apr 2023
Apple: Transformer architecture optimized for Apple Silicon
2 projects | reddit.com/r/apple | 23 Mar 2023
I'm following this closely, together with other efforts like GPTQ Quantization and Microsoft's DeepSpeed, all of which are bringing down the hardware requirements of these advanced AI models.
Facebook LLAMA is being openly distributed via torrents
15 projects | news.ycombinator.com | 3 Mar 2023
Anything that could bring this to a 10GB 3080 or 24GB 3090 without 60s/it per token?
UAE's Technology Innovation Institute Launches Open-Source "Falcon 40B" Large Language Model for Research & Commercial Utilization
2 projects | reddit.com/r/AITechTips | 27 May 2023
It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard.
[D] High-quality, open-source implementations of LLMs
6 projects | reddit.com/r/MachineLearning | 22 May 2023
PSA: There is no 30B LLaMA model; it was a typo. The actual model has 33B parameters; please stop referring to it as "LLaMA-30B."
2 projects | reddit.com/r/LocalLLaMA | 22 May 2023
New Llama 13B model from Nomic.AI : GPT4All-13B-Snoozy. Available on HF in HF, GPTQ and GGML
4 projects | reddit.com/r/LocalLLaMA | 5 May 2023
Base Model Repository: https://github.com/facebookresearch/llama
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
2 projects | reddit.com/r/programming | 4 May 2023
By the way, for people not familiar with the leak, Llama models are for research purposes only and you need to request the download link from Meta, a user on Github just commited a magnet link into the readme to "save bandwidth"...a proper chad, some might even compare the feat to Armstrong's first step on the moon lol.
Google “We Have No Moat, and Neither Does OpenAI”
9 projects | news.ycombinator.com | 4 May 2023
There's a pull request in the official LLaMA repo that adds Magnet links for all the models to the README. Until these were uploaded to HuggingFace, this PR was the primary source for most people downloading the model.
Two months later, Facebook hasn't merged the change, but they also haven't deleted it or tried to censor it in any way. I find that hard to explain unless the leak really was intentional; with pretty much any large company, this kind of thing would normally get killed on sight.
[N] OpenLLaMA: An Open Reproduction of LLaMA
5 projects | reddit.com/r/MachineLearning | 3 May 2023
If you have lots of available VRAM and a powerful GPU, the use the original llama inference code, which is actually open source.
4 projects | news.ycombinator.com | 26 Apr 2023
I think local models SOTA is llama which has 2048 context.
[R] CodeCapybara: Another open source model for code generation based on instruction tuning, outperformed Llama and CodeAlpaca
2 projects | reddit.com/r/MachineLearning | 24 Apr 2023
exactly, that's what we are trying to figure out, most of the previous work they do not released the scripts for evaluation, only the pretrained model and the numbers in the paper, no one can actually reproduce the results but choose to trust the numbers are correct. There are similar issues here: https://github.com/facebookresearch/llama/issues/223
Best datasets for local training?
3 projects | reddit.com/r/LocalLLaMA | 20 Apr 2023
What are some alternatives?
ColossalAI - Making large AI models cheaper, faster and more accessible
fairscale - PyTorch extensions for high performance and large scale training.
langchain - ⚡ Building applications with LLMs through composability ⚡
TensorRT - NVIDIA® TensorRT™, an SDK for high-performance deep learning inference, includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for inference applications.
Megatron-LM - Ongoing research training transformer models at scale
text-generation-webui - A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
mesh-transformer-jax - Model parallel transformers in JAX and Haiku
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
alpaca-lora - Instruct-tune LLaMA on consumer hardware