初始化项目，由ModelHub XC社区提供模型

Model: automerger/Ognoexperiment27Multi_verse_model-7B
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- automerger
+base_model:
+- ammarali32/multi_verse_model
+---
+
+# Ognoexperiment27Multi_verse_model-7B
+
+Ognoexperiment27Multi_verse_model-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model)
+
+## 🧩 Configuration
+
+```yaml
+models:
+- model: automerger/OgnoExperiment27-7B
+  # No parameters necessary for base model
+- model: ammarali32/multi_verse_model
+  parameters:
+    density: 0.53
+    weight: 0.6
+merge_method: dare_ties
+base_model: automerger/OgnoExperiment27-7B
+parameters:
+int8_mask: true
+dtype: bfloat16
+random_seed: 0
+    ```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "automerger/Ognoexperiment27Multi_verse_model-7B"
+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"])
+```