squ11z1/Kairos
LoRA-style vs nvidia/Nemotron-Cascade-8B-Thinking. 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: MLP 108/108, Norms 0/145, Attention 144/144, Embeddings 0/1, lm_head 0/1
2 derivatives checked
- mradermacher/Kairos-i1-GGUF: Quantization
- mradermacher/Kairos-GGUF: Same weights, converted