radlab / pLLama3-70B

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30-day runs: -1
Model's Last Updated: August 31 2024
text-generation

Introduction of pLLama3-70B

Model Details of pLLama3-70B

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Intro

We have released a collection of radlab/pLLama3 models, which we have trained into Polish. The trained version is able to communicate more precisely with the user than the base version of meta-llama/Meta-Llama-3 models. As part of the collection, we provide models in 8B and 70B architecture. We make models in the 8B architecture available in two configurations:

  • radlab/pLLama3-8B-creator, a model that gives fairly short, specific answers to user queries;
  • radlab/pLLama3-8B-chat, a model that is a chatty version that reflects the behavior of the original meta-llama/Meta-Llama-3-8B-Instruct model.
Dataset

In addition to the instruction datasets publicly available for Polish, we developed our own dataset, which contains about 650,000 instructions. This data was semi-automatically generated using other publicly available datasets. In addition, we developed a learning dataset for the DPO process, which contained 100k examples in which we taught the model to select correctly written versions of texts from those with language errors.

Learning

The learning process was divided into two stages:

  • Post-training on a set of 650k instructions in Polish, the fine-tuning time was set to 5 epochs.
  • After the FT stage, we retrained the model using DPO on 100k instructions of correct writing in Polish, in this case we set the learning time to 15k steps.

The models we released are the ones after FT and the DPO process.

Post-FT learning metrics:

  • eval/loss : 0.8690009713172913
  • eval/runtime : 464.5158
  • eval/samples_per_second : 8.611
  • eval/steps_per_second : 8.611

Post-DPO learning metrics:

  • eval/logits/chosen : 0.1370937079191208
  • eval/logits/rejected : 0.07430506497621536
  • eval/logps/chosen : -454.11962890625
  • eval/logps/rejected : -764.1261596679688
  • eval/loss : 0.05717926099896431
  • eval/rewards/accuracies : 0.9372459053993224
  • eval/rewards/chosen : -26.75682830810547
  • eval/rewards/margins : 32.37759780883789
  • eval/rewards/rejected : -59.134429931640625
  • eval/runtime : 1,386.3177
  • eval/samples_per_second : 2.838
  • eval/steps_per_second : 1.42
Outro

Read more in Polish on our blog . Enjoy!

Runs of radlab pLLama3-70B on huggingface.co

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More Information About pLLama3-70B huggingface.co Model

More pLLama3-70B license Visit here:

https://choosealicense.com/licenses/llama3

pLLama3-70B huggingface.co

pLLama3-70B huggingface.co is an AI model on huggingface.co that provides pLLama3-70B's model effect (), which can be used instantly with this radlab pLLama3-70B model. huggingface.co supports a free trial of the pLLama3-70B model, and also provides paid use of the pLLama3-70B. Support call pLLama3-70B model through api, including Node.js, Python, http.

pLLama3-70B huggingface.co Url

https://huggingface.co/radlab/pLLama3-70B

radlab pLLama3-70B online free

pLLama3-70B huggingface.co is an online trial and call api platform, which integrates pLLama3-70B's modeling effects, including api services, and provides a free online trial of pLLama3-70B, you can try pLLama3-70B online for free by clicking the link below.

radlab pLLama3-70B online free url in huggingface.co:

https://huggingface.co/radlab/pLLama3-70B

pLLama3-70B install

pLLama3-70B is an open source model from GitHub that offers a free installation service, and any user can find pLLama3-70B on GitHub to install. At the same time, huggingface.co provides the effect of pLLama3-70B install, users can directly use pLLama3-70B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

pLLama3-70B install url in huggingface.co:

https://huggingface.co/radlab/pLLama3-70B

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pLLama3-70B huggingface.co Url

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