goldfish-models / ltz_latn_100mb

huggingface.co
Total runs: 24
24-hour runs: 0
7-day runs: -2
30-day runs: 2
Model's Last Updated: August 27 2024
text-generation

Introduction of ltz_latn_100mb

Model Details of ltz_latn_100mb

ltz_latn_100mb

Goldfish is a suite of monolingual language models trained for 350 languages. This model is the Luxembourgish (Latin script) model trained on 100MB of data, after accounting for an estimated byte premium of 1.23; content-matched text in Luxembourgish takes on average 1.23x as many UTF-8 bytes to encode as English. The Goldfish models are trained primarily for comparability across languages and for low-resource languages; Goldfish performance for high-resource languages is not designed to be comparable with modern large language models (LLMs).

Note: ltz_latn is an individual language code. It is not contained in any macrolanguage codes contained in Goldfish (for script latn).

All training and hyperparameter details are in our paper, Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024) .

Training code and sample usage: https://github.com/tylerachang/goldfish

Sample usage also in this Google Colab: link

Model details:

To access all Goldfish model details programmatically, see https://github.com/tylerachang/goldfish/blob/main/model_details.json . All models are trained with a [CLS] (same as [BOS]) token prepended, and a [SEP] (same as [EOS]) token separating sequences. Details for this model specifically:

  • Architecture: gpt2
  • Parameters: 124770816
  • Maximum sequence length: 512 tokens
  • Training text data (raw): 122.54MB
  • Training text data (byte premium scaled): 100.005MB
  • Training tokens: 27672064 (x10 epochs)
  • Vocabulary size: 50000
  • Compute cost: 1.41212404482048e+17 FLOPs or ~13.4 NVIDIA A6000 GPU hours

Training datasets (percentages prior to deduplication):

Citation

If you use this model, please cite:

@article{chang-etal-2024-goldfish,
  title={Goldfish: Monolingual Language Models for 350 Languages},
  author={Chang, Tyler A. and Arnett, Catherine and Tu, Zhuowen and Bergen, Benjamin K.},
  journal={Preprint},
  year={2024},
}

Runs of goldfish-models ltz_latn_100mb on huggingface.co

24
Total runs
0
24-hour runs
0
3-day runs
-2
7-day runs
2
30-day runs

More Information About ltz_latn_100mb huggingface.co Model

More ltz_latn_100mb license Visit here:

https://choosealicense.com/licenses/apache-2.0

ltz_latn_100mb huggingface.co

ltz_latn_100mb huggingface.co is an AI model on huggingface.co that provides ltz_latn_100mb's model effect (), which can be used instantly with this goldfish-models ltz_latn_100mb model. huggingface.co supports a free trial of the ltz_latn_100mb model, and also provides paid use of the ltz_latn_100mb. Support call ltz_latn_100mb model through api, including Node.js, Python, http.

goldfish-models ltz_latn_100mb online free

ltz_latn_100mb huggingface.co is an online trial and call api platform, which integrates ltz_latn_100mb's modeling effects, including api services, and provides a free online trial of ltz_latn_100mb, you can try ltz_latn_100mb online for free by clicking the link below.

goldfish-models ltz_latn_100mb online free url in huggingface.co:

https://huggingface.co/goldfish-models/ltz_latn_100mb

ltz_latn_100mb install

ltz_latn_100mb is an open source model from GitHub that offers a free installation service, and any user can find ltz_latn_100mb on GitHub to install. At the same time, huggingface.co provides the effect of ltz_latn_100mb install, users can directly use ltz_latn_100mb installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

ltz_latn_100mb install url in huggingface.co:

https://huggingface.co/goldfish-models/ltz_latn_100mb

Url of ltz_latn_100mb

Provider of ltz_latn_100mb huggingface.co

goldfish-models
ORGANIZATIONS

Other API from goldfish-models