Gemma4 Gutenberg 26B A4B Lora is an open-source language model by nbeerbower. Features: 26b LLM, VRAM: 0.3GB, LLM Explorer Score: 0.24.
| LLM Name | Gemma4 Gutenberg 26B A4B Lora |
| Repository 🤗 | https://huggingface.co/nbeerbower/Gemma4-Gutenberg-26B-A4B-lora |
| Base Model(s) | |
| Model Size | 26b |
| Required VRAM | 0.3 GB |
| Updated | 2026-09-13 |
| Maintainer | nbeerbower |
| Model Files | |
| Model Architecture | AutoModel |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | language_model.layers.1.self_attn.o_proj|language_model.layers.27.mlp.down_proj|language_model.layers.15.self_attn.o_proj|language_model.layers.6.mlp.down_proj|language_model.layers.8.mlp.up_proj|language_model.layers.8.mlp.down_proj|language_model.layers.26.mlp.down_proj|language_model.layers.18.self_attn.q_proj|language_model.layers.20.mlp.up_proj|language_model.layers.10.self_attn.k_proj|language_model.layers.23.mlp.gate_proj|language_model.layers.19.mlp.gate_proj|language_model.layers.26.mlp.up_proj|language_model.layers.9.self_attn.k_proj|language_model.layers.17.mlp.up_proj|language_model.layers.24.self_attn.v_proj|language_model.layers.18.mlp.gate_proj|language_model.layers.28.self_attn.q_proj|language_model.layers.26.self_attn.o_proj|language_model.layers.7.mlp.down_proj|language_model.layers.24.self_attn.o_proj|language_model.layers.24.mlp.gate_proj|language_model.layers.15.self_attn.v_proj|language_model.layers.4.self_attn.v_proj|language_model.layers.13.mlp.up_proj|language_model.layers.13.mlp.down_proj|language_model.layers.9.mlp.down_proj|language_model.layers.16.self_attn.o_proj|language_model.layers.0.mlp.gate_proj|language_model.layers.10.mlp.down_proj|language_model.layers.25.self_attn.v_proj|language_model.layers.22.mlp.up_proj|language_model.layers.14.self_attn.o_proj|language_model.layers.3.mlp.gate_proj|language_model.layers.3.self_attn.q_proj|language_model.layers.8.self_attn.o_proj|language_model.layers.18.self_attn.o_proj|language_model.layers.0.self_attn.v_proj|language_model.layers.25.self_attn.k_proj|language_model.layers.7.self_attn.v_proj|language_model.layers.9.self_attn.q_proj|language_model.layers.6.self_attn.o_proj|language_model.layers.26.self_attn.k_proj|language_model.layers.17.mlp.down_proj|language_model.layers.29.mlp.gate_proj|language_model.layers.10.self_attn.o_proj|language_model.layers.5.mlp.up_proj|language_model.layers.23.self_attn.o_proj|language_model.layers.12.self_attn.v_proj|language_model.layers.19.self_attn.q_proj|language_model.layers.20.mlp.gate_proj|language_model.layers.2.mlp.gate_proj|language_model.layers.9.mlp.up_proj|language_model.layers.21.self_attn.q_proj|language_model.layers.11.mlp.down_proj|language_model.layers.17.self_attn.k_proj|language_model.layers.6.self_attn.k_proj|language_model.layers.23.mlp.up_proj|language_model.layers.27.self_attn.k_proj|language_model.layers.0.mlp.down_proj|language_model.layers.24.self_attn.q_proj|language_model.layers.13.self_attn.o_proj|language_model.layers.8.self_attn.k_proj|language_model.layers.2.self_attn.q_proj|language_model.layers.2.mlp.up_proj|language_model.layers.8.mlp.gate_proj|language_model.layers.1.mlp.gate_proj|language_model.layers.3.self_attn.k_proj|language_model.layers.4.mlp.up_proj|language_model.layers.21.mlp.up_proj|language_model.layers.24.mlp.down_proj|language_model.layers.20.self_attn.o_proj|language_model.layers.26.self_attn.q_proj|language_model.layers.2.self_attn.o_proj|language_model.layers.25.mlp.up_proj|language_model.layers.13.self_attn.q_proj|language_model.layers.2.mlp.down_proj|language_model.layers.7.mlp.gate_proj|language_model.layers.16.mlp.down_proj|language_model.layers.22.self_attn.k_proj|language_model.layers.25.mlp.gate_proj|language_model.layers.29.self_attn.v_proj|language_model.layers.20.self_attn.v_proj|language_model.layers.12.mlp.down_proj|language_model.layers.14.mlp.up_proj|language_model.layers.18.mlp.down_proj|language_model.layers.16.mlp.gate_proj|language_model.layers.16.mlp.up_proj|language_model.layers.25.self_attn.q_proj|language_model.layers.28.mlp.up_proj|language_model.layers.22.self_attn.q_proj|language_model.layers.18.self_attn.k_proj|language_model.layers.1.self_attn.q_proj|language_model.layers.17.mlp.gate_proj|language_model.layers.16.self_attn.k_proj|language_model.layers.8.self_attn.v_proj|language_model.layers.9.self_attn.v_proj|language_model.layers.18.mlp.up_proj|language_model.layers.27.self_attn.v_proj|language_model.layers.11.self_attn.k_proj|language_model.layers.12.mlp.gate_proj|language_model.layers.0.self_attn.o_proj|language_model.layers.22.self_attn.v_proj|language_model.layers.27.self_attn.o_proj|language_model.layers.5.self_attn.q_proj|language_model.layers.11.self_attn.v_proj|language_model.layers.14.self_attn.v_proj|language_model.layers.15.mlp.gate_proj|language_model.layers.5.mlp.gate_proj|language_model.layers.28.mlp.gate_proj|language_model.layers.28.mlp.down_proj|language_model.layers.23.self_attn.q_proj|language_model.layers.4.self_attn.q_proj|language_model.layers.21.mlp.gate_proj|language_model.layers.13.self_attn.v_proj|language_model.layers.2.self_attn.v_proj|language_model.layers.3.self_attn.o_proj|language_model.layers.25.self_attn.o_proj|language_model.layers.14.self_attn.k_proj|language_model.layers.19.self_attn.k_proj|language_model.layers.22.self_attn.o_proj|language_model.layers.0.self_attn.k_proj|language_model.layers.0.self_attn.q_proj|language_model.layers.12.self_attn.k_proj|language_model.layers.17.self_attn.q_proj|language_model.layers.1.self_attn.k_proj|language_model.layers.1.self_attn.v_proj|language_model.layers.24.mlp.up_proj|language_model.layers.17.self_attn.v_proj|language_model.layers.1.mlp.up_proj|language_model.layers.6.mlp.up_proj|language_model.layers.14.self_attn.q_proj|language_model.layers.6.self_attn.v_proj|language_model.layers.7.self_attn.o_proj|language_model.layers.12.self_attn.q_proj|language_model.layers.17.self_attn.o_proj|language_model.layers.27.self_attn.q_proj|language_model.layers.20.self_attn.k_proj|language_model.layers.7.self_attn.k_proj|language_model.layers.13.self_attn.k_proj|language_model.layers.6.mlp.gate_proj|language_model.layers.10.self_attn.q_proj|language_model.layers.11.self_attn.o_proj|language_model.layers.2.self_attn.k_proj|language_model.layers.5.self_attn.o_proj|language_model.layers.20.self_attn.q_proj|language_model.layers.29.self_attn.q_proj|language_model.layers.29.mlp.down_proj|language_model.layers.5.self_attn.k_proj|language_model.layers.8.self_attn.q_proj|language_model.layers.9.mlp.gate_proj|language_model.layers.23.self_attn.v_proj|language_model.layers.24.self_attn.k_proj|language_model.layers.26.mlp.gate_proj|language_model.layers.10.self_attn.v_proj|language_model.layers.15.self_attn.q_proj|language_model.layers.19.self_attn.o_proj|language_model.layers.19.mlp.down_proj|language_model.layers.28.self_attn.k_proj|language_model.layers.7.self_attn.q_proj|language_model.layers.11.mlp.up_proj|language_model.layers.11.mlp.gate_proj|language_model.layers.7.mlp.up_proj|language_model.layers.6.self_attn.q_proj|language_model.layers.10.mlp.up_proj|language_model.layers.21.self_attn.k_proj|language_model.layers.25.mlp.down_proj|language_model.layers.18.self_attn.v_proj|language_model.layers.12.mlp.up_proj|language_model.layers.23.mlp.down_proj|language_model.layers.10.mlp.gate_proj|language_model.layers.19.self_attn.v_proj|language_model.layers.3.mlp.down_proj|language_model.layers.9.self_attn.o_proj|language_model.layers.0.mlp.up_proj|language_model.layers.15.mlp.up_proj|language_model.layers.4.self_attn.k_proj|language_model.layers.26.self_attn.v_proj|language_model.layers.29.self_attn.k_proj|language_model.layers.12.self_attn.o_proj|language_model.layers.15.self_attn.k_proj|language_model.layers.27.mlp.gate_proj|language_model.layers.15.mlp.down_proj|language_model.layers.21.self_attn.o_proj|language_model.layers.4.self_attn.o_proj|language_model.layers.5.mlp.down_proj|language_model.layers.21.mlp.down_proj|language_model.layers.16.self_attn.q_proj|language_model.layers.29.self_attn.o_proj|language_model.layers.14.mlp.down_proj|language_model.layers.11.self_attn.q_proj|language_model.layers.23.self_attn.k_proj|language_model.layers.1.mlp.down_proj|language_model.layers.14.mlp.gate_proj|language_model.layers.22.mlp.down_proj|language_model.layers.13.mlp.gate_proj|language_model.layers.3.mlp.up_proj|language_model.layers.16.self_attn.v_proj|language_model.layers.22.mlp.gate_proj|language_model.layers.19.mlp.up_proj|language_model.layers.28.self_attn.o_proj|language_model.layers.4.mlp.gate_proj|language_model.layers.3.self_attn.v_proj|language_model.layers.28.self_attn.v_proj|language_model.layers.29.mlp.up_proj|language_model.layers.5.self_attn.v_proj|language_model.layers.20.mlp.down_proj|language_model.layers.21.self_attn.v_proj|language_model.layers.4.mlp.down_proj|language_model.layers.27.mlp.up_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 64 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma4 Gutenberg 26B A4B | 0K / 0.3 GB | 0 | 2 |