mondk/Safetensors.Claude-Qwen3.5-4B-Reasoning
LoRA-style vs TeichAI/Qwen3.5-4B-Claude-Opus-Reasoning-Distill. 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 0/5, MLP 96/199, Attention 32/324, Norms 0/209, other 0/1
2 derivatives checked
- mondk/GGUF.Claude-Qwen3.5-4B-Reasoning: Quantization
- mondk/Safetensors.Claude-Qwen3.5-V2: LoRA-style