nicholasKluge/TeenyTinyLlama-460m

Text Generation • Updated Sep 27 • 269 • 9

Note 460 million-parameter version of the TeenyTinyLlama.

nicholasKluge/TeenyTinyLlama-460m-awq

Text Generation • Updated Oct 8 • 30 • 1

Note 460 million-parameter version (4-bit quantized via AWQ) of the TeenyTinyLlama.

nicholasKluge/TeenyTinyLlama-460m-Chat

Text Generation • Updated Oct 8 • 693 • 3

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the Instruct-Aira Dataset version 2.0.

nicholasKluge/TeenyTinyLlama-460m-Chat-awq

Text Generation • Updated Oct 8 • 9 • 1

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the Instruct-Aira Dataset version 2.0 (4-bit quantized via AWQ).

nicholasKluge/TeenyTinyLlama-460m-HateBR

Text Classification • Updated Oct 8 • 10 • 1

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the HateBR dataset.

nicholasKluge/TeenyTinyLlama-460m-FaQuAD-NLI

Text Classification • Updated Oct 8 • 10

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the FaQuAD-NLI dataset.

nicholasKluge/TeenyTinyLlama-460m-IMDB

Text Classification • Updated Oct 8 • 29 • 1

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the IMDB dataset.

nicholasKluge/TeenyTinyLlama-460m-Assin2

Text Classification • Updated Oct 8 • 12

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the Assin2 dataset.

nicholasKluge/TeenyTinyLlama-460m-AgNews

Text Classification • Updated Oct 8 • 10

Note 460 million-parameter version of the TeenyTinyLlama fine-tuned on the AgNews dataset.

nicholasKluge/TeenyTinyLlama-160m

Text Generation • Updated Sep 27 • 924 • 6

Note 160 million-parameter version of the TeenyTinyLlama.

nicholasKluge/TeenyTinyLlama-160m-HateBR

Text Classification • Updated Oct 8 • 16

Note 160 million-parameter version of the TeenyTinyLlama fine-tuned on the HateBR dataset.

nicholasKluge/TeenyTinyLlama-160m-FaQuAD-NLI

Text Classification • Updated Oct 8 • 24

Note 160 million-parameter version of the TeenyTinyLlama fine-tuned on the FaQuAD-NLI dataset.

nicholasKluge/TeenyTinyLlama-160m-IMDB

Text Classification • Updated Oct 8 • 27

Note 160 million-parameter version of the TeenyTinyLlama fine-tuned on the IMDB dataset.

nicholasKluge/TeenyTinyLlama-160m-AgNews

Text Classification • Updated Oct 8 • 23

Note 160 million-parameter version of the TeenyTinyLlama fine-tuned on the AgNews dataset.

Note Pt-Corpus is a concatenation of several portions of Brazilian Portuguese datasets found in the Hub, with approximately 4.1B tokens. This version does not have instructional content.

Note Tokenized version of the Pt-Corpus (performed using the TeenyTinyLlama tokenizer).

Note Pt-Corpus Instruct is a concatenation of several portions of Brazilian Portuguese datasets found in the Hub, with approximately 6.2B tokens. This version of the corpus includes several instances of conversational and general instructional data.

Note Tokenized version of a subset of the Pt-Corpus-Instruct (performed using the TeenyTinyLlama tokenizer).

Note Tokenized version of the Pt-Corpus-Instruct (performed using the TeenyTinyLlama tokenizer).