Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

@@ -1,57 +0,0 @@
----
-language:
-- en
-- ru
-tags:
-- not-for-all-audiences
-- nsfw
-base_model:
-- LakoMoor/Silicon-Masha-7B
-license: cc-by-nc-4.0
-inference: false
-library_name: transformers
-model_creator: LakoMoor
-model_name: Silicon-Masha-7B
-model_type: mistral
----
-
-# Silicon-Masha-7B-GGUF 
-![Silicon-Masha-7B](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/resolve/main/assets/masha.png)
-
-## What's that?
-
-Silicon-Masha-7B-GGUF is a quantized model aiming to be both strong in RP, be smart **and** understand Russian, that can follow character maps very well.  It is suitable for RP/ERP and general use.It can be run on weak iron 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-Masha-7B-GGUF/resolve/main/assets/context.json), [Instruct](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/resolve/main/assets/instruct.json).
-
-Additionally, here is my highly recommended [Text Completion preset](https://huggingface.co/LakoMoor/Silicon-Masha-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:
-```
-
-## Provided files
-
-| Name | Quant method | Bits | Use case |
-| ---- | ---- | ---- | ----- |
-| [silicon-masha-7b.Q2_K.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q2_K.gguf) | Q2_K | 2 | smallest, significant quality loss - not recommended for most purposes |
-| [silicon-masha-7b.Q3_K_M.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q3_K_M.gguf) | Q3_K_M | 3 | very small, high quality loss |
-| [silicon-masha-7b.Q4_0.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q4_0.gguf) | Q4_0 | 4 | legacy; small, very high quality loss - prefer using Q3_K_M |
-| [silicon-masha-7b.Q4_K_M.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q4_K_M.gguf) | Q4_K_M | 4 | medium, balanced quality - recommended |
-| [silicon-masha-7b.Q5_0.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q5_0.gguf) | Q5_0 | 5 | legacy; medium, balanced quality - prefer using Q4_K_M |
-| [silicon-masha-7b.Q5_K_M.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q5_K_M.gguf) | Q5_K_M | 5 | large, very low quality loss - recommended |
-| [silicon-masha-7b.Q6_K.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q6_K.gguf) | Q6_K | 6 | very large, extremely low quality loss |
-| [silicon-masha-7b.Q8_0.gguf](https://huggingface.co/LakoMoor/Silicon-Masha-7B-GGUF/blob/main/silicon-masha-7b.Q8_0.gguf) | Q8_0 | 8 | very large, extremely low quality loss - not recommended |
-
-## How run it ?
-[llama.cpp](https://github.com/ggerganov/llama.cpp)
-```shell
-./main -ngl 35 -m silicon-masha-7b.Q4_K_M.gguf --color -c 32768 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n{system_message}\n### Instruction:{prompt}\n### Response:\n"
-```