A curated collection of datasets in French, designed to evaluate biases in LLMs
Irina Proskurina PRO
iproskurina
AI & ML interests
LLMs: quantization, pre-training
Recent Activity
upvoted a paper 1 day ago
Fair-GPTQ: Bias-Aware Quantization for Large Language Models updated a model 19 days ago
iproskurina/qwen-hf-fewshot-iter-np-iter5 published a model 19 days ago
iproskurina/qwen-hf-fewshot-iter-np-iter5Organizations
Attention graph features extracted from LMs fine-tuned on linguistic acceptability corpora
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iproskurina/tda-ruroberta-large-ru-cola
Text Classification • 0.4B • Updated • 409 -
iproskurina/tda-bert-en-cola
Text Classification • 0.1B • Updated • 7 -
iproskurina/tda-roberta-large-en-cola
Text Classification • 0.4B • Updated • 21 -
iproskurina/tda-rubert-ru-cola
Text Classification • 0.2B • Updated • 6
A collection of models submitted to the BabyLM23 competition
A curated collection of datasets in French, designed to evaluate biases in LLMs
LLMs quantized with GPTQ
Attention graph features extracted from LMs fine-tuned on linguistic acceptability corpora
-
iproskurina/tda-ruroberta-large-ru-cola
Text Classification • 0.4B • Updated • 409 -
iproskurina/tda-bert-en-cola
Text Classification • 0.1B • Updated • 7 -
iproskurina/tda-roberta-large-en-cola
Text Classification • 0.4B • Updated • 21 -
iproskurina/tda-rubert-ru-cola
Text Classification • 0.2B • Updated • 6
A collection of models submitted to the BabyLM23 competition