Mungert/Nanonets-OCR-s-GGUF
LoRA-style (fewer layers) vs Qwen/Qwen2.5-VL-3B-Instruct. Mungert/Nanonets-OCR-s-GGUF matches part of Qwen/Qwen2.5-VL-3B-Instruct (434 of its 824 tensors; the rest of Qwen/Qwen2.5-VL-3B-Instruct has no counterpart). On the shared part: Mungert/Nanonets-OCR-s-GGUF is a GGUF (Q8_0) of different weights. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, k_proj, o_proj, q_proj, up_proj, v_proj changed, in 36 of 36 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/73, MLP 108/108, Attention 144/252