mradermacher/Qwen2.5-VL-3B-DocIndo-GGUF
LoRA-style (fewer layers) vs danielsyahputra/Qwen2.5-VL-3B-DocIndo. mradermacher/Qwen2.5-VL-3B-DocIndo-GGUF matches part of danielsyahputra/Qwen2.5-VL-3B-DocIndo (434 of its 824 tensors; the rest of danielsyahputra/Qwen2.5-VL-3B-DocIndo has no counterpart). On the shared part: mradermacher/Qwen2.5-VL-3B-DocIndo-GGUF is a GGUF (F16) 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