Pickamon/CogniTune-Qwen2.5-3B
LoRA-style vs Qwen/Qwen2.5-3B-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 8 of 36 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/73, MLP 24/108, Attention 32/252
2 derivatives checked
- mradermacher/CogniTune-Qwen2.5-3B-i1-GGUF: Quantization
- mradermacher/CogniTune-Qwen2.5-3B-GGUF: Same weights, converted