jealk/TTC-L2V-supervised-2
LoRA-style vs AI-Sweden-Models/Llama-3-8B-instruct. 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 32 of 32 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/65, MLP 96/96, Attention 128/128
2 derivatives checked
- andersborges/model2vecdk: Different architecture
- andersborges/model2vecdk-stem: Different architecture