lewiswatson/Frame2KG-InternVL3.5-4b-JSON

LoRA-style (fewer layers) vs OpenGVLab/InternVL3_5-4B-HF. lewiswatson/Frame2KG-InternVL3.5-4b-JSON matches part of OpenGVLab/InternVL3_5-4B-HF (399 of its 841 tensors; the rest of OpenGVLab/InternVL3_5-4B-HF has no counterpart). On the shared part: lewiswatson/Frame2KG-InternVL3.5-4b-JSON 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 0/145, MLP 108/108, Attention 144/144, lm_head 0/1

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