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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Cartinoe5930/Llama2_init_Mistral
- Cartinoe5930/Llama2_init_Mistral
---
# SOLAR-DUS-implement
SOLAR-DUS-implement is a merge of the following model using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Cartinoe5930/Llama2_init_Mistral](https://huggingface.co/Cartinoe5930/Llama2_init_Mistral)
For more detailed information, please refer to GitHub Repository.
GitHub Repository: https://github.com/gauss5930/iDUS
## 🧩 Configuration
```yaml
slices:
- sources:
- model: Cartinoe5930/Llama2_init_Mistral
layer_range: [0, 24]
- sources:
- model: Cartinoe5930/Llama2_init_Mistral
layer_range: [8, 32]
merge_method: passthrough
dtype: float16
```
## 🏆 HuggingFace Open LLM Leaderboard
|Model|ARC|HellaSwag|MMLU|TruthfulQA|Winogrande|GSM8K|Average|
|---|---|---|---|---|---|---|---|
|SOLAR-10.7B-DUS-Implementation|59.56|81.18|63.68|40.72|76.48|26.99|58.1|
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Cartinoe5930/SOLAR-DUS-implement"
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"])
``` |