How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF",
	filename="kaiden-sakura-violet-square-azura-crimson-12b-q5_k_m.gguf",
)
llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

merge

This is a merge of pre-trained language models created using mergekit.

Main Model:

https://huggingface.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B

Merge Details

Merge Method

This model was merged using the Model Stock merge method using PocketDoc/Dans-SakuraKaze-V1.0.0-12b as a base.

prompt style

you need to use chatml.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
parameters:
models:
  - model: Nitral-AI/Captain-Eris_Violet-V0.420-12B
  - model: Epiculous/Violet_Twilight-v0.2
  - model: Epiculous/Azure_Dusk-v0.2
  - model: Epiculous/Crimson_Dawn-v0.2
dtype: bfloat16
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GGUF
Model size
12B params
Architecture
llama
Hardware compatibility
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