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---
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"])
``` |