---
base_model:
- catrinbaze/llama-refueled-merge
- NousResearch/Meta-Llama-3-8B-instruct
- Locutusque/Llama-3-Orca-1.0-8B
- lighteternal/Llama3-merge-biomed-8b
- mlabonne/NeuralDaredevil-8B-abliterated
- mlabonne/Daredevil-8B
tags:
- merge
- mergekit
- lazymergekit
- catrinbaze/llama-refueled-merge
- NousResearch/Meta-Llama-3-8B-instruct
- Locutusque/Llama-3-Orca-1.0-8B
- lighteternal/Llama3-merge-biomed-8b
- mlabonne/NeuralDaredevil-8B-abliterated
- mlabonne/Daredevil-8B
---

# merge-llama-3-8b

merge-llama-3-8b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [catrinbaze/llama-refueled-merge](https://huggingface.co/catrinbaze/llama-refueled-merge)
* [NousResearch/Meta-Llama-3-8B-instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-instruct)
* [Locutusque/Llama-3-Orca-1.0-8B](https://huggingface.co/Locutusque/Llama-3-Orca-1.0-8B)
* [lighteternal/Llama3-merge-biomed-8b](https://huggingface.co/lighteternal/Llama3-merge-biomed-8b)
* [mlabonne/NeuralDaredevil-8B-abliterated](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated)
* [mlabonne/Daredevil-8B](https://huggingface.co/mlabonne/Daredevil-8B)

## 🧩 Configuration

```yaml
slices:
models:
  - model: NousResearch/Meta-Llama-3-8B
    # No parameters necessary for base model
  - model: catrinbaze/llama-refueled-merge
    parameters:
      density: 0.6
      weight: 0.6
  - model: NousResearch/Meta-Llama-3-8B-instruct
    parameters:
      density: 0.58
      weight: 0.2
  - model: Locutusque/Llama-3-Orca-1.0-8B
    parameters:
      density: 0.56
      weight: 0.05
  - model: lighteternal/Llama3-merge-biomed-8b 
    parameters:
      density: 0.56
      weight: 0.05
  - model: mlabonne/NeuralDaredevil-8B-abliterated
    parameters:
      density: 0.55
      weight: 0.05
  - model: mlabonne/Daredevil-8B
    parameters:
      density: 0.55
      weight: 0.05
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "catrinbaze/merge-llama-3-8b"
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"])
```