---
base_model:
- MaziyarPanahi/Llama-3-8B-Instruct-v0.10
- MaziyarPanahi/Llama-3-8B-Instruct-v0.8
tags:
- merge
- mergekit
- MaziyarPanahi/Llama-3-8B-Instruct-v0.10
- MaziyarPanahi/Llama-3-8B-Instruct-v0.8
---

# notcode

notcode is a merge of the following models Mergekit:
* [MaziyarPanahi/Llama-3-8B-Instruct-v0.10](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.10)
* [MaziyarPanahi/Llama-3-8B-Instruct-v0.8](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-v0.8)

## 🧩 Configuration

```yaml
models:
  - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.10
    parameters:
      density: 0.6
      weight: 0.6
  - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.8
    parameters:
      density: 0.4
      weight: 0.4

merge_method: ties
base_model: MaziyarPanahi/Llama-3-8B-Instruct-v0.10
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "nizarblal/notcode"
messages = [{"role": "user", "content": ""}]

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"])
```