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README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- s3nh/Sonya-Panda-7B-slerp
+- argilla/distilabeled-Marcoro14-7B-slerp
+- Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
+base_model:
+- s3nh/Sonya-Panda-7B-slerp
+- argilla/distilabeled-Marcoro14-7B-slerp
+- Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
+---
+
+# Blur-7b-v1.22
+
+Blur-7b-v1.22 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [s3nh/Sonya-Panda-7B-slerp](https://huggingface.co/s3nh/Sonya-Panda-7B-slerp)
+* [argilla/distilabeled-Marcoro14-7B-slerp](https://huggingface.co/argilla/distilabeled-Marcoro14-7B-slerp)
+* [Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: s3nh/Sonya-Panda-7B-slerp
+    parameters:
+      density: [1, 0.7, 0.1] # density gradient
+      weight: 1.0
+  - model: argilla/distilabeled-Marcoro14-7B-slerp
+    parameters:
+      density: 0.5
+      weight: [0, 0.3, 0.7, 1] # weight gradient
+  - model: Weyaxi/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
+    parameters:
+      density: 0.33
+      weight:
+        - filter: mlp
+          value: 0.5
+        - value: 0
+merge_method: ties
+base_model: Blur-7b-v1.21
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "liminerity/Blur-7b-v1.22"
+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"])
+```