Yuma42/KangalKhan-Ruby-7B-Fixed
LoRA-style vs argilla/CapybaraHermes-2.5-Mistral-7B. 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 93/96, Attention 124/128, lm_head 0/1
1 derivatives checked
- mradermacher/KangalKhan-Ruby-7B-Fixed-GGUF: Same weights, converted