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---
tags:
- merge
- mergekit
- lazymergekit
- Kaoeiri/Keiana-L3-Test5.4-8B-10
- Undi95/Llama-3-LewdPlay-8B
- Kaoeiri/Keiana-L3-Test4.7-8B-3
base_model:
- Kaoeiri/Keiana-L3-Test5.4-8B-10
- Undi95/Llama-3-LewdPlay-8B
- Kaoeiri/Keiana-L3-Test4.7-8B-3
---
# Keiana-L3-Test5.75-8B-13.5
Keiana-L3-Test5.75-8B-13.5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoeiri/Keiana-L3-Test5.4-8B-10](https://huggingface.co/Kaoeiri/Keiana-L3-Test5.4-8B-10)
* [Undi95/Llama-3-LewdPlay-8B](https://huggingface.co/Undi95/Llama-3-LewdPlay-8B)
* [Kaoeiri/Keiana-L3-Test4.7-8B-3](https://huggingface.co/Kaoeiri/Keiana-L3-Test4.7-8B-3)
## 🧩 Configuration
```yaml
merge_method: model_stock
dtype: float16
base_model: Kaoeiri/Keiana-L3-Test5.2-8B-8
models:
- model: Kaoeiri/Keiana-L3-Test5.4-8B-10
parameters:
weight: .23
density: .26
- model: Undi95/Llama-3-LewdPlay-8B
parameters:
weight: .26
density: .38
- model: Kaoeiri/Keiana-L3-Test4.7-8B-3
parameters:
weight: .24
density: .42
parameters:
int8_mask: true
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kaoeiri/Keiana-L3-Test5.75-8B-13.5"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |