---
base_model: LakoMoor/Silicon-Alice-7B
language:
- en
- ru
library_name: transformers
license: cc-by-nc-4.0
model_name: Silicon-Alice-7B
tags:
- not-for-all-audiences
- nsfw
- llama-cpp
- gguf-my-repo
inference: false
model_creator: LakoMoor
model_type: mistral
---

# woofwolfy/Silicon-Alice-7B-Q4_K_M-GGUF-Imatrix
This model was converted to GGUF format from [`LakoMoor/Silicon-Alice-7B`](https://huggingface.co./LakoMoor/Silicon-Alice-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co./spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co./LakoMoor/Silicon-Alice-7B) for more details on the model.

![Silicon-Alice-7B](https://huggingface.co./LakoMoor/Silicon-Alice-7B-GGUF/resolve/main/assets/alice.png)

## What's that?

Silicon-Alice-7B-GGUF is a quantized model based on [Silicon-Masha-7B](https://huggingface.co./LakoMoor/Silicon-Alice-7B) aiming to be both strong in RP, be smart  **and** understand Russian, that can follow character maps very well. This model understands Russian better than the previous one. It is suitable for RP/ERP and general use. It can be run on weak samovar using [llama.cpp](https://github.com/ggerganov/llama.cpp) or [koboldcpp](https://github.com/LostRuins/koboldcpp).

## Prompt Template (Alpaca)

I found the best SillyTavern results from using the Noromaid template but please try other templates! Let me know if you find anything good.

SillyTavern config files: [Context](https://huggingface.co./LakoMoor/Silicon-Alice-7B-GGUF/resolve/main/assets/context.json), [Instruct](https://huggingface.co./LakoMoor/Silicon-Alice-7B-GGUF/resolve/main/assets/instruct.json).

Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co./LakoMoor/Silicon-Alice-7B-GGUF/resolve/main/assets/MinP.json). You can tweak this by adjusting temperature up or dropping min p to boost creativity or raise min p to increase stability. You shouldn't need to touch anything else!

```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
```