初始化项目，由ModelHub XC社区提供模型

Model: SteelStorage/Aurora-10.7B
Source: Original Platform

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+tags:
+- Aurora
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/CHx9TxNMX79pEm2WO2jXg.png)
+
+# Aurora-10.7b_Base
+
+Aurora-10.7b_Base is a merge of the following models: to create a 10.7b base model that can be trained.
+* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+
+## Merged Evals: (Has Not Been Finetuned)
+Aurora-10.7b_Base
+* Avg: 63.98
+* ARC: 62.88
+* HellaSwag: 83.99
+* MMLU: 60.24
+* T-QA: 67.84
+* Winogrande: 76.4
+* GSM8K: 32.52
+
+
+## (OG)Donated Evals:
+Mistral-7b-v0.2
+* Avg: 65.71
+* ARC: 63.14
+* HellaSwag: 84.88
+* MMLU: 60.78
+* T-QA: 68.26
+* Winogrande: 77.19
+* GSM8K: 40.03
+
+## 🧩 Configuration
+
+```
+slices:
+  - sources:
+    - model: mistralai/Mistral-7B-Instruct-v0.2
+      layer_range: [0, 24]
+  - sources:
+    - model: mistralai/Mistral-7B-Instruct-v0.2
+      layer_range: [8, 32]
+merge_method: passthrough
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Steelskull/Aurora_base_test"
+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"])
+```