[HN Gopher] Open-Llama: Complete training pipeline for building ...
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Open-Llama: Complete training pipeline for building large language
models
Author : bayes-song
Score : 122 points
Date : 2023-05-14 01:21 UTC (21 hours ago)
(HTM) web link (github.com)
(TXT) w3m dump (github.com)
| bayes-song wrote:
| Check out this model trained using the Open-Llama project at
| http://home.ustc.edu.cn/~sl9292 . This model is trained primarily
| on English and Chinese, but also has capabilities in other
| languages like Japanese and Korean. Now, let's dive into Open-
| Llama. It's a truly open-source project for pre-training and
| instruct-tuning AI models. One of the key features of this
| project is its support for a wide range of model sizes, from 7B
| to 65B parameters. What sets Open-Llama apart is the
| incorporation of performance acceleration via xformers from
| Llama, enabling 95% of the original Llama speed on the 65B
| models. In fact, for the 7B models, Open-Llama's performance
| surpasses the original Llama. By providing full access to the
| codebase, we believe that Open-Llama will contribute greatly to
| the advancement of open-source AI technologies. We invite
| developers and researchers to join us on this exciting journey!
| lhl wrote:
| Namespace collisions are inevitable, especially w/ how fast-
| moving the LLM space is right now, just wanted to point out that
| besides this "Open-Llama" project (which looks really
| interesting, and well documented in the Github repo), there is
| also another group training "OpenLLaMA"
| https://github.com/openlm-research/open_llama (which looks like
| an effort by two Berkeley PhD students, https://www.haoliu.site/
| and http://young-geng.xyz/ to reproduce LLaMA using the 1.2T
| token Together RedPajama dataset. They've released up to a 300B
| checkpoint so far.)
|
| Feedback for /u/bayes-song - it'd be great to have a more info on
| the model card on HF - right now it's unclear the parameter
| count, # of total tokens you're planning on training on/how many
| you've trained on so far. An Evaluation section (maybe using lm-
| evaluation-harness) might be good as well?
| pythux wrote:
| To add to that, I believe the title of this submission is a
| reference ("Open-Lamam: A "real" open-source project to train
| LLM not just checkpoints") to this project you link, since they
| did not (to my knowledge), release the code for the training or
| detailed instructions to reproduce their experiment precisely,
| only checkpoints.
| marcopicentini wrote:
| Sorry for newbie question. What's the advantage of retraining the
| model versus using an already trained model through API (OPEN
| AI). I understand the economic principle of "make or buy", but is
| there else?
| christkv wrote:
| Feels like its still the area of wait and see as the space shakes
| out. It would be great to be able to run our own models in some
| near future for applications but the amount of hardware needed to
| delivery service to a significant audience is pretty crazy. Right
| now I don't see any way but to re-bill the cost with a markup to
| end customers unless you have a giant pile of VC money that you
| can light on fire.
| quickthrower2 wrote:
| I found running the model on rented hardware much more
| expensive than ChatGPT. Might work ok for local sunk cost
| hardware for those who game and don't crypto mine.
| ingenieroariel wrote:
| WebGPU would be a way to shift that cost back to each device.
| RedPajama 3B could become useful for some tasks and run quite
| fast on most hardware available. Then as users have better
| computers, they can get access to better models?
| snovv_crash wrote:
| You'd have to have each user download a 3GB payload first.
| For comparison, that's a good few hours of netflix at 1080p.
| sroussey wrote:
| Browsers and operating systems will eventually include
| them.
|
| But for now, you would need a good privacy reason to go
| this route.
| [deleted]
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