README.md

---
tags:
- merge
- mergekit
- DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1
license: llama3
language:
- de
- en
---

# llama3-8b-spaetzle-v31

llama3-8b-spaetzle-v31 is a merge of the following models:
* [cstr/llama3-8b-spaetzle-v20](https://huggingface.co/cstr/llama3-8b-spaetzle-v20)
* [DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1](https://huggingface.co/DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1)

## 🧩 Configuration

```yaml
models:
  - model: cstr/llama3-8b-spaetzle-v20
    # no parameters necessary for base model
  - model: DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1
    parameters:
      density: 0.65
      weight: 0.5 
merge_method: dare_ties
base_model: cstr/llama3-8b-spaetzle-v20
parameters:
  int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: base
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "cstr/llama3-8b-spaetzle-v31"
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"])
```