ermiaazarkhalili/Qwen3.8-2B-Function-Calling-xLAM-Unsloth
LoRA-style vs empero-ai/Qwen3.8-2B-Distill. Looks like a merged LoRA (or a fine-tune with frozen norms): only the weight matrices of down_proj, gate_proj, in_proj_qkv, in_proj_z, k_proj, o_proj, out_proj, q_proj, up_proj, v_proj changed, in 24 of 24 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/5, Norms 0/183, Attention 78/268, MLP 72/175, other 0/1
1 derivatives checked
- tinyopsec/Qwen3.8-2B-Function-Calling-xLAM-GGUF: Quantization