KIT_IWSLT26_ModelCompression_en-de_unconstrained_contrastive2

 - Exact storage size: 3.98GB
 - Number of parameters: 8.2B
 - Applied Compression techniques: HQQ 4 bit quantization on all linear layers, 2 bit quantization on word embeddings, 3-bit quantization of MLP in 4 selected layers, AWQ calibration on ACL6060 dev set.
 - Datasets used: The base model was finetuned with LoRA adapters using a 200k-sentence subset of the Europarl and CoVoST corpora. The fine-tuning data covers English-to-X translation across six target languages: DE, ZH, ES, NL, PT, and TR