初始化项目，由ModelHub XC社区提供模型

Model: Muhammad2003/Myriad-7B-Slerp
Source: Original Platform

README.md

@@ -0,0 +1,76 @@
+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- MaziyarPanahi/Calme-7B-Instruct-v0.9
+- yam-peleg/Experiment26-7B
+base_model:
+- MaziyarPanahi/Calme-7B-Instruct-v0.9
+- yam-peleg/Experiment26-7B
+license: cc-by-nc-4.0
+---
+
+# Myriad-7B-Slerp
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64fc6d81d75293f417fee1d1/zQLKL_Bf6M6zgajds_Ap6.png)
+Myriad-7B-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [MaziyarPanahi/Calme-7B-Instruct-v0.9](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.9)
+* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
+Special thanks to Charles Goddard for the quick implementation!
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: MaziyarPanahi/Calme-7B-Instruct-v0.9
+        layer_range: [0, 32]
+      - model: yam-peleg/Experiment26-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: yam-peleg/Experiment26-7B
+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: float16
+
+
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Muhammad2003/Myriad-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"])
+```
+## 🏆 Evaluation
+| Task          | Score   |
+|---------------|---------|
+| ARC           | 73.38   |
+| Hellaswag     | 89.05   |
+| MMLU          | 64.32   |
+| TruthfulQA    | 77.95   |
+| Winogrande    | 84.85   |
+| GSM8k         | 70.28   |