llama-dl
llama-mps
llama-dl | llama-mps | |
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17 | 4 | |
3,386 | 83 | |
- | - | |
8.8 | 3.8 | |
about 1 year ago | 8 months ago | |
Shell | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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llama-dl
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Gitlab confirms it's removed Suyu, a fork of Nintendo Switch emulator Yuzu
There seems to be some confusion here. Let me step in as someone who has gone through this.
My repo https://github.com/shawwn/llama-dl was taken down last March by Facebook. They asserted copyright over LLaMA, which is obviously bogus since it was trained on data they do not own the copyright to. I was bummed about this, but after I mentioned on HN that I was willing to fight Meta, an anonymous person named L contacted me and sent $20k of Monero to cover legal fees. I was also contacted by an amazing lawyer who wanted to represent me in this. I was absurdly fortunate on both counts.
He drafted a counternotice, we sent it, and then my repo was restored within a week or so.
GitHub had no choice in the matter. Legally this is a required process. Ditto for GitLab. Both are US companies.
When YouTube-dl was taken down some time ago by a DMCA, Nat went to bat and got it restored, and GitHub made some sort of pledge to cover legal fees associated with bogus takedown requests.
Here’s the shitty part for this particular situation. A case can be made that the emulator is for the purpose of circumventing copyright protection mechanisms. This, sadly, is a solid legal basis for issuing a lawful takedown, as much as we all absolutely despise that idea. It’s pretty clear cut; Nintendo doesn’t want Switch games to be run on non-Nintendo platforms, and the emulator seeks to enable Switch games to be run on any platform. Therefore, the intent of the emulator is to circumvent Nintendo’s protection mechanisms.
So where does this leave us? Well, the team can file a counternotice. GitLab will restore the repo. But that opens up the team to a lawsuit by Nintendo. And as much as I want to stand up to bullies, there’s a difference between standing up to a guy shoving a kid in a locker vs standing up to a Silverback gorilla charging at you. Nintendo’s legal history implies the latter.
Welcome to Nintendo pain. The Smash community has been dealing with Nintendo’s BS for decades now. They shut down tournaments that use emulators for Smash Melee. And no one can do anything, because it’s their legal right to do so.
- [Chat Gpt] Metas LLaMA LLM ist durchgesickert – Führen Sie unzensierte KI auf Ihrem Heim-PC aus!
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Run LLaMA and Alpaca on your computer
Your philosophical argument is interesting, but what the op was saying was one of the linked repos in inaccessible due to DMCA: https://github.com/shawwn/llama-dl
So while what you say may be true the DMCA seems to have worth for these orgs because they can get code removed by the host, who is uninterested in litigating, and the repo owner likely is even less capable of litigating the DMCA.
Unfortunately as a tool of fear and legal gridlock DMCA has shown itself to be very useful to those with ill intent.
- Meta DMCAs llama-dl Repository
- Load LLaMA Models Instantly
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Is there some sort of open-source equivalent of this?
Here are some useful links: https://github.com/shawwn/llama-dl and https://rentry.org/llama-tard-v2#tips-and-tricks
- FLiP Stack Weekly for 13 March 2023
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Using LLaMA with M1 Mac and Python 3.11
Sure. You can get models with magnet link from here https://github.com/shawwn/llama-dl/
To get running, just follow these steps https://github.com/ggerganov/llama.cpp/#usage
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New JailBreak prompt + How to stop flagging/blocking!
https://rentry.org/llama-tard-v2#tips-and-tricks https://github.com/shawwn/llama-dl
- LLaMA, o ChatGPT da Meta vaza na internet e já pode ser baixada
llama-mps
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llama.cpp now officially supports GPU acceleration.
There are currently at least 3 ways to run llama on m1 with GPU acceleration. - mlc-llm (pre-built, only 1 model has been ported) - tinygrad (very memory efficient, not that easy to integrate into other projects) - llama-mps (original llama codebase + llama adapter support)
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LLaMA-7B in Pure C++ with full Apple Silicon support
There is also a gpu-acelerated fork of the original repo
https://github.com/remixer-dec/llama-mps
- Llama-CPU: Fork of Facebooks LLaMa model to run on CPU
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[D] Tutorial: Run LLaMA on 8gb vram on windows (thanks to bitsandbytes 8bit quantization)
I tried to port the llama-cpu version to a gpu-accelerated mps version for macs, it runs, but the outputs are not as good as expected and it often gives "-1" tokens. Any help and contributions on fixing it are welcome!
What are some alternatives?
llama.cpp - LLM inference in C/C++
llama - Inference code for Llama models
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
llama - Inference code for LLaMA models
dalai - The simplest way to run LLaMA on your local machine
LLaMA_MPS - Run LLaMA inference on Apple Silicon GPUs.
egghead - discord bot for ai stuff
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️