---
tags:
- merge
- mergekit
- lazymergekit
- Kaoeiri/Keiana-L3-Test4.7-8B-3
- vicgalle/Roleplay-Llama-3-8B
base_model:
- Kaoeiri/Keiana-L3-Test4.7-8B-3
- vicgalle/Roleplay-Llama-3-8B
---

# Keiana-L3-Test5.0-8B-6


# Keep in mind that it's not yet tested, and I unsure if would work as planned.


Keiana-L3-Test5.0-8B-6 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kaoeiri/Keiana-L3-Test4.7-8B-3](https://huggingface.co/Kaoeiri/Keiana-L3-Test4.7-8B-3)
* [vicgalle/Roleplay-Llama-3-8B](https://huggingface.co/vicgalle/Roleplay-Llama-3-8B)

## 🧩 Configuration

```yaml
merge_method: task_arithmetic
dtype: float16
base_model: jeiku/Average_Normie_v2_l3_8B
models:
  - model: Kaoeiri/Keiana-L3-Test4.7-8B-3
    parameters:
      weight: 1.0
  - model: vicgalle/Roleplay-Llama-3-8B
    parameters:
      weight: 1.0
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kaoeiri/Keiana-L3-Test5.0-8B-6"
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"])
```