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---
tags:
- Kukedlc/NeuralMaths-Experiment-7b
- lemon-mint/gemma-ko-7b-instruct-v0.62
- Ppoyaa/StarMonarch-7B
- automerger/YamshadowExperiment28-7B
- ichigoberry/MonarchPipe-7B-slerp
- deepseek-ai/deepseek-coder-7b-instruct-v1.5
- Kukedlc/Neural-4-Maths-7b
base_model:
- Kukedlc/NeuralMaths-Experiment-7b
- lemon-mint/gemma-ko-7b-instruct-v0.62
- Ppoyaa/StarMonarch-7B
- automerger/YamshadowExperiment28-7B
- ichigoberry/MonarchPipe-7B-slerp
- deepseek-ai/deepseek-coder-7b-instruct-v1.5
- Kukedlc/Neural-4-Maths-7b
---
# DeepCode-7B-Aurora-v5
DeepCode-7B-Aurora-v5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuralMaths-Experiment-7b](https://huggingface.co/Kukedlc/NeuralMaths-Experiment-7b)
* [lemon-mint/gemma-ko-7b-instruct-v0.62](https://huggingface.co/lemon-mint/gemma-ko-7b-instruct-v0.62)
* [Ppoyaa/StarMonarch-7B](https://huggingface.co/Ppoyaa/StarMonarch-7B)
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/YamshadowExperiment28-7B)
* [ichigoberry/MonarchPipe-7B-slerp](https://huggingface.co/ichigoberry/MonarchPipe-7B-slerp)
* [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5)
* [Kukedlc/Neural-4-Maths-7b](https://huggingface.co/Kukedlc/Neural-4-Maths-7b)
## 🧩 Configuration
```yaml
models:
- model: Kukedlc/NeuralMaths-Experiment-7b
parameters:
weight: 1
- model: lemon-mint/gemma-ko-7b-instruct-v0.62
parameters:
weight: 1
- model: Ppoyaa/StarMonarch-7B
parameters:
weight: 1
- model: automerger/YamshadowExperiment28-7B
parameters:
weight: 1
- model: ichigoberry/MonarchPipe-7B-slerp
parameters:
weight: 1
- model: deepseek-ai/deepseek-coder-7b-instruct-v1.5
parameters:
weight: 1
- model: Kukedlc/Neural-4-Maths-7b
parameters:
weight: 1
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-v5"
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"])
``` |