allura-org/Qwen2.5-32b-RP-Ink
LoRA-style vs Qwen/Qwen2.5-32B-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 64 of 64 layers; norms, biases and embeddings are untouched.
Tensors changed: Embeddings 0/1, Norms 0/129, MLP 192/192, Attention 256/448, lm_head 0/1
5 derivatives checked
- bartowski/Qwen2.5-32b-RP-Ink-GGUF: Same weights, converted
- mradermacher/Qwen2.5-32b-RP-Ink-i1-GGUF: Quantization
- featherless-ai-quants/allura-org-Qwen2.5-32b-RP-Ink-GGUF: Quantization
- mradermacher/Qwen2.5-32b-RP-Ink-GGUF: Quantization
- marcuscedricridia/Springer-32B-RP-2: Full fine-tune