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---
base_model:
- meta-llama/Llama-3.1-8B
- ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
tags:
- merge
- mergekit
- lazymergekit
- meta-llama/Llama-3.1-8B
- ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
language:
- tr
- en
---
# TurkLlama-Mix-v2
TurkLlama-Mix-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
* [ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1](https://huggingface.co/ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1)
## 🧩 Configuration
```yaml
merge_method: linear # Daha basit yöntem
models:
- model: meta-llama/Llama-3.1-8B
parameters: {weight: 0.3}
- model: ytu-ce-cosmos/Turkish-Llama-8b-Instruct-v0.1
parameters: {weight: 0.7}
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "matrixportal/TurkLlama-Mix-v2"
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"])
``` |