SL-AI/GRaPE-2-Flash_GGUF
LoRA-style (fewer layers) vs Qwen/Qwen3-VL-8B-Thinking. SL-AI/GRaPE-2-Flash_GGUF matches part of Qwen/Qwen3-VL-8B-Thinking (399 of its 750 tensors; the rest of Qwen/Qwen3-VL-8B-Thinking has no counterpart). On the shared part: SL-AI/GRaPE-2-Flash_GGUF is a GGUF (BF16) 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 0/145, MLP 108/108, Attention 144/144, lm_head 0/1