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README.md

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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
+os.system(f"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"])
+```