Dark Goetia 26B A4B LoRA V2 is an open-source language model by SubMaroon. Features: 26b LLM, License: gemma.
| LLM Name | Dark Goetia 26B A4B LoRA V2 |
| Repository π€ | https://huggingface.co/SubMaroon/Dark-Goetia-26B-A4B-LoRA-v2 |
| Base Model(s) | |
| Model Size | 26b |
| Required VRAM | 0 GB |
| Updated | 2026-08-17 |
| Maintainer | SubMaroon |
| Model Files | |
| Supported Languages | en ru |
| Model Architecture | Adapter |
| License | gemma |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | model.language_model.layers.26.self_attn.o_proj|model.language_model.layers.25.self_attn.o_proj|model.language_model.layers.14.self_attn.k_proj|model.language_model.layers.27.self_attn.k_proj|model.language_model.layers.13.self_attn.o_proj|model.language_model.layers.18.self_attn.q_proj|model.language_model.layers.27.self_attn.v_proj|model.language_model.layers.6.self_attn.k_proj|model.language_model.layers.9.self_attn.v_proj|model.language_model.layers.22.self_attn.v_proj|model.language_model.layers.4.self_attn.k_proj|model.language_model.layers.13.self_attn.q_proj|model.language_model.layers.25.self_attn.v_proj|model.language_model.layers.16.self_attn.q_proj|model.language_model.layers.29.self_attn.o_proj|model.language_model.layers.12.self_attn.q_proj|model.language_model.layers.5.self_attn.k_proj|model.language_model.layers.8.self_attn.k_proj|model.language_model.layers.14.self_attn.o_proj|model.language_model.layers.28.self_attn.v_proj|model.language_model.layers.12.self_attn.o_proj|model.language_model.layers.15.self_attn.k_proj|model.language_model.layers.21.self_attn.v_proj|model.language_model.layers.18.self_attn.o_proj|model.language_model.layers.1.self_attn.v_proj|model.language_model.layers.8.self_attn.q_proj|model.language_model.layers.8.self_attn.v_proj|model.language_model.layers.17.self_attn.q_proj|model.language_model.layers.26.self_attn.q_proj|model.language_model.layers.25.self_attn.q_proj|model.language_model.layers.0.self_attn.o_proj|model.language_model.layers.14.self_attn.q_proj|model.language_model.layers.17.self_attn.k_proj|model.language_model.layers.1.self_attn.q_proj|model.language_model.layers.20.self_attn.v_proj|model.language_model.layers.16.self_attn.o_proj|model.language_model.layers.16.self_attn.v_proj|model.language_model.layers.21.self_attn.o_proj|model.language_model.layers.12.self_attn.k_proj|model.language_model.layers.24.self_attn.o_proj|model.language_model.layers.9.self_attn.o_proj|model.language_model.layers.22.self_attn.q_proj|model.language_model.layers.12.self_attn.v_proj|model.language_model.layers.20.self_attn.k_proj|model.language_model.layers.20.self_attn.o_proj|model.language_model.layers.0.self_attn.k_proj|model.language_model.layers.23.self_attn.k_proj|model.language_model.layers.3.self_attn.o_proj|model.language_model.layers.7.self_attn.q_proj|model.language_model.layers.24.self_attn.v_proj|model.language_model.layers.1.self_attn.o_proj|model.language_model.layers.20.self_attn.q_proj|model.language_model.layers.21.self_attn.q_proj|model.language_model.layers.15.self_attn.o_proj|model.language_model.layers.24.self_attn.k_proj|model.language_model.layers.0.self_attn.q_proj|model.language_model.layers.19.self_attn.o_proj|model.language_model.layers.10.self_attn.k_proj|model.language_model.layers.3.self_attn.q_proj|model.language_model.layers.7.self_attn.v_proj|model.language_model.layers.4.self_attn.o_proj|model.language_model.layers.11.self_attn.k_proj|model.language_model.layers.10.self_attn.o_proj|model.language_model.layers.22.self_attn.o_proj|model.language_model.layers.18.self_attn.v_proj|model.language_model.layers.19.self_attn.q_proj|model.language_model.layers.2.self_attn.v_proj|model.language_model.layers.6.self_attn.q_proj|model.language_model.layers.11.self_attn.q_proj|model.language_model.layers.13.self_attn.k_proj|model.language_model.layers.15.self_attn.q_proj|model.language_model.layers.16.self_attn.k_proj|model.language_model.layers.23.self_attn.o_proj|model.language_model.layers.22.self_attn.k_proj|model.language_model.layers.2.self_attn.q_proj|model.language_model.layers.4.self_attn.v_proj|model.language_model.layers.10.self_attn.v_proj|model.language_model.layers.28.self_attn.k_proj|model.language_model.layers.11.self_attn.o_proj|model.language_model.layers.5.self_attn.o_proj|model.language_model.layers.19.self_attn.v_proj|model.language_model.layers.29.self_attn.q_proj|model.language_model.layers.19.self_attn.k_proj|model.language_model.layers.9.self_attn.q_proj|model.language_model.layers.6.self_attn.v_proj|model.language_model.layers.0.self_attn.v_proj|model.language_model.layers.15.self_attn.v_proj|model.language_model.layers.26.self_attn.k_proj|model.language_model.layers.25.self_attn.k_proj|model.language_model.layers.28.self_attn.q_proj|model.language_model.layers.14.self_attn.v_proj|model.language_model.layers.18.self_attn.k_proj|model.language_model.layers.17.self_attn.o_proj|model.language_model.layers.13.self_attn.v_proj|model.language_model.layers.24.self_attn.q_proj|model.language_model.layers.10.self_attn.q_proj|model.language_model.layers.28.self_attn.o_proj|model.language_model.layers.8.self_attn.o_proj|model.language_model.layers.9.self_attn.k_proj|model.language_model.layers.29.self_attn.k_proj|model.language_model.layers.2.self_attn.k_proj|model.language_model.layers.26.self_attn.v_proj|model.language_model.layers.3.self_attn.k_proj|model.language_model.layers.6.self_attn.o_proj|model.language_model.layers.27.self_attn.o_proj|model.language_model.layers.4.self_attn.q_proj|model.language_model.layers.21.self_attn.k_proj|model.language_model.layers.27.self_attn.q_proj|model.language_model.layers.1.self_attn.k_proj|model.language_model.layers.7.self_attn.o_proj|model.language_model.layers.23.self_attn.q_proj|model.language_model.layers.3.self_attn.v_proj|model.language_model.layers.5.self_attn.q_proj|model.language_model.layers.2.self_attn.o_proj|model.language_model.layers.7.self_attn.k_proj |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| R Param | 32 |