mobilint/EXAONE-Deep-2.4B-Batch16
Full fine-tune (fewer layers) vs LGAI-EXAONE/EXAONE-Deep-2.4B. mobilint/EXAONE-Deep-2.4B-Batch16 matches part of LGAI-EXAONE/EXAONE-Deep-2.4B (1 of its 272 tensors; the rest of LGAI-EXAONE/EXAONE-Deep-2.4B has no counterpart). On the shared part: Fine-tune: 100% of the weights changed, across 0 of 0 layers.
Tensors changed: Embeddings 1/1
2 other repos hold byte-for-byte identical weight files.