DarwinAnim8or/Gemma4MoE-Lawd-F16-GGUF overview
Experimental RP tune for Gemma4 MoE 26b a4b it Trained for 4 epochs on restraint training, just a test run. Feel free to use it if you want, if you get anythin…
Runs locally from ~87.7 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Gemma4MoE-Lawd-f16.gguf | GGUF | F16 | 87.7 MB | Download |
Model Details
| Model ID | DarwinAnim8or/Gemma4MoE-Lawd-F16-GGUF |
|---|---|
| Author | DarwinAnim8or |
| Pipeline | — |
| License | apache-2.0 |
| Base model | DarwinAnim8or/Gemma4MoE-Lawd |
| Last modified | 2026-07-14T09:47:26.000Z |
Model README
---
base_model: DarwinAnim8or/Gemma4MoE-Lawd
library_name: peft
tags:
- llama-cpp
- gguf-my-lora
- roleplay
- sillytavern
- experimental
license: apache-2.0
language:
- en
---
Experimental RP tune for Gemma4 MoE (26b-a4b-it)
Trained for 4 epochs on restraint training, just a test run. Feel free to use it if you want, if you get anything fun let me know in the community tab.
I used temp=1, top_p=0.9 with loramult=0.7 in Kobold / SillyTavern chat completion.
Use with llama.cpp
# with cli
llama-cli -m base_model.gguf --lora Gemma4MoE-Lawd-f16.gguf (...other args)
# with server
llama-server -m base_model.gguf --lora Gemma4MoE-Lawd-f16.gguf (...other args)
To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.
Run DarwinAnim8or/Gemma4MoE-Lawd-F16-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models