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README.md

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+---
+base_model:
+- Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-7b-v3-1-7B-Linear
+- icefog72/IceMoonshineRP-7b
+- Weyaxi/MetaMath-neural-chat-7b-v3-2-Slerp
+- VAGOsolutions/SauerkrautLM-7b-HerO
+- mrfakename/NeuralOrca-7B-v1
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-7b-v3-1-7B-Linear
+- icefog72/IceMoonshineRP-7b
+- Weyaxi/MetaMath-neural-chat-7b-v3-2-Slerp
+- VAGOsolutions/SauerkrautLM-7b-HerO
+- mrfakename/NeuralOrca-7B-v1
+---
+
+# kangaroo_7B_test01
+
+kangaroo_7B_test01 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-7b-v3-1-7B-Linear](https://huggingface.co/Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-7b-v3-1-7B-Linear)
+* [icefog72/IceMoonshineRP-7b](https://huggingface.co/icefog72/IceMoonshineRP-7b)
+* [Weyaxi/MetaMath-neural-chat-7b-v3-2-Slerp](https://huggingface.co/Weyaxi/MetaMath-neural-chat-7b-v3-2-Slerp)
+* [VAGOsolutions/SauerkrautLM-7b-HerO](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-HerO)
+* [mrfakename/NeuralOrca-7B-v1](https://huggingface.co/mrfakename/NeuralOrca-7B-v1)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: BioMistral/BioMistral-7B-DARE
+    # No parameters necessary for base model
+  - model: Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-7b-v3-1-7B-Linear
+    parameters:
+      density: 0.5
+      weight: 0.2
+
+
+  - model: icefog72/IceMoonshineRP-7b
+    parameters:
+      density: 0.5
+      weight: 0.2
+
+
+  - model: Weyaxi/MetaMath-neural-chat-7b-v3-2-Slerp
+    parameters:
+      density: 0.5
+      weight: 0.2
+
+
+  - model: VAGOsolutions/SauerkrautLM-7b-HerO
+    parameters:
+      density: 0.5
+      weight: 0.2
+
+
+  - model: mrfakename/NeuralOrca-7B-v1
+    parameters:
+      density: 0.5
+      weight: 0.2
+
+
+merge_method: dare_ties
+base_model: BioMistral/BioMistral-7B-DARE
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "kainatq/kangaroo_7B_test01"
+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"])
+```