File size: 1,338 Bytes
6a687c0 1fb36d2 6a687c0 d5124c5 6a687c0 d5124c5 6a687c0 16f6c46 6a687c0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 |
---
license: creativeml-openrail-m
---
# DeepCode-7B-Aurora-v12
DeepCode-7B-Aurora-v12 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## 🧩 Configuration
```yaml
models:
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
- model: deepseek-ai/deepseek-math-7b-rl
merge_method: model_stock
base_model: deepseek-ai/deepseek-math-7b-rl
dtype: float16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "ALBADDAWI/DeepCode-7B-Aurora-v12"
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"])
``` |