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Model: Gille/StrangeMerges_44-7B-dare_ties
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- Nexusflow/Starling-LM-7B-beta
+- nlpguy/T3QM7
+- AurelPx/Percival_01-7b-slerp
+base_model:
+- Nexusflow/Starling-LM-7B-beta
+- nlpguy/T3QM7
+- AurelPx/Percival_01-7b-slerp
+---
+
+# StrangeMerges_44-7B-dare_ties
+
+StrangeMerges_44-7B-dare_ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
+* [nlpguy/T3QM7](https://huggingface.co/nlpguy/T3QM7)
+* [AurelPx/Percival_01-7b-slerp](https://huggingface.co/AurelPx/Percival_01-7b-slerp)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: Nexusflow/Starling-LM-7B-beta
+    parameters:
+      weight: 0.3
+      density: 0.53
+  - model: nlpguy/T3QM7
+    parameters:
+      weight: 0.2
+      density: 0.53
+  - model: AurelPx/Percival_01-7b-slerp
+    parameters:
+      weight: 0.5
+      density: 0.53
+base_model: liminerity/M7-7b
+merge_method: dare_ties
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Gille/StrangeMerges_44-7B-dare_ties"
+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"])
+```