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borzunov
searching PlanetScale…
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13 ms
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31.
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by
borzunov
4y ago
Sure! People who disconnect for a while (not necessarily predictably) won't be penalized - it's okay if you suddenly decide to use your GPU for something else, then get back to running a server.
32.
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borzunov
4y ago
A Petals dev here. At the moment, we're working on a centralized incentive system, no blockchain involved. It will award points if someone is running a server that consistently stays online and returns correct results. Then, users will
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by
borzunov
4y ago
I think this is a relevant link for you: https://huggingface.co/transformers/v4.9.0/parallelism.html For large LMs, people usually use tensor-parallelism (TP) or pipeline-parallelism (PP). TP involves lots of comm
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by
borzunov
4y ago
Really large (GPT-3-sized) language models have much more parameters than diffusion models, so it's difficult to load them locally unless you have a server with 8x 3090/3x A100 GPUs. Petals is the only way to fine-tune and inferen
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borzunov
4y ago
You can switch the chat bot ( http://chat.petals.ml ) to the "few-shot mode" and provide a couple of "task description & code" examples. Then you can add a new task description and it'll respond with c
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by
borzunov
4y ago
A Petals dev here. Indeed, the public swarm should not be used for any kind of sensitive data (we have warnings about that in the instructions). If someone wants to process such data, we recommend to set up a private swarm among the orgs th
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borzunov
4y ago
A Petals dev here. It is not real-time, but we think the speed of ~1 token/sec may be enough for some interactive apps such as chat bots (especially, if you show tokens to a user once they are generated). You can try one at http:/
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by
borzunov
4y ago
Offloading is another popular method for running large LMs when you don't have the GPU memory to fit the entire model. Imagine you have an A100 GPU with 80 GB memory and want to generate text with BLOOM, a 70-block transformer model wi
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Petals is creating a free, distributed network for running text-generating AI
(techcrunch.com)
3 points
by
borzunov
4y ago
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1 comments
40.
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by
borzunov
4y ago
See technical details in the paper: https://arxiv.org/abs/2209.01188
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Show HN: Run and fine-tune 175B+ LMs in Colab using a P2P network of GPUs
(github.com)
3 points
by
borzunov
4y ago
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0 comments
42.
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borzunov
4y ago
I'm not sure it's a problem since newer versions of CPython usually introduce only minor updates to bytecode ops.
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borzunov
4y ago
A while ago, I made a similar tool for Pocketbook eInk readers specifically: https://github.com/borzunov/remoteink
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by
borzunov
4y ago
Yeah, I've remembered this episode as well!
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borzunov
5y ago
I do the same in my module that enables increment operators in Python by patching the bytecode for two unary plus/minus ops: https://github.com/borzunov/plusplus
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Bytecode hack that enables increment operators in Python
(github.com)
2 points
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borzunov
5y ago
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0 comments
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Show HN: Enable ++x and --x expressions in Python
(github.com)
4 points
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borzunov
5y ago
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1 comments
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Show HN: Turn Pocketbook e-ink reader into computer monitor
(github.com)
7 points
by
borzunov
5y ago
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1 comments
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borzunov
5y ago
Hi, I'm the author of remoteink. Recently, the idea of using an e-ink device for programming/writing texts/showing dashboards/etc turned out to be popular among HN users [1, 2, 3], so I've decided to share my tool f
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by
borzunov
5y ago
Years ago, I've made a program turning Pocketbook e-ink readers into computer monitors with some extra features: https://github.com/borzunov/remoteink The update speed is quite good (comfortable for writing texts
51.
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borzunov
6y ago
Reminded me of the tool turning Pocketbook E-Ink readers into computer monitors, which I made several years ago: https://github.com/borzunov/remoteink This could also be used for the dashboards if connected to a remo
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Show HN: Exploit farm for attack-defense CTF competitions
(github.com)
1 points
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borzunov
7y ago
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0 comments
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Show HN: Extend built-in Python collections with LINQ-for-objects style methods
(github.com)
15 points
by
borzunov
11y ago
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0 comments