初始化项目，由ModelHub XC社区提供模型

Model: artificialguybr/GenStructDolphin-7B-Slerp
Source: Original Platform

README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- NousResearch/Genstruct-7B
+- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+base_model:
+- NousResearch/Genstruct-7B
+- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+---
+
+# GenStructDolphin-7B-Slerp
+
+GenStructDolphin-7B-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [NousResearch/Genstruct-7B](https://huggingface.co/NousResearch/Genstruct-7B)
+* [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: NousResearch/Genstruct-7B
+        layer_range: [0, 32]
+      - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: NousResearch/Genstruct-7B
+
+---
+### 🌐 Website
+You can find more of my models, projects, and information on my official website:
+- **[artificialguy.com](https://artificialguy.com/)**
+
+
+### 🚀 Prompt Hub
+Need high-quality prompts for image models and LLMs? Explore **[findgoodprompt.com](https://findgoodprompt.com)**.
+### 💖 Support My Work
+If you find this model useful, please consider supporting my work. It helps me cover server costs and dedicate more time to new open-source projects.
+- **Patreon:** [Support on Patreon](https://www.patreon.com/user?u=81570187)
+- **Ko-fi:** [Buy me a Ko-fi](https://ko-fi.com/artificialguybr)
+- **Buy Me a Coffee:** [Buy me a Coffee](https://buymeacoffee.com/jvkape)
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "artificialguybr/GenStructDolphin-7B-Slerp"
+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"])
+```