Update README.md

README.md

@@ -1,3 +1,59 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+datasets:
+- Minami-su/Amara-o1-dataset
+---
+
+<div align="left">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/62d7f90b102d144db4b4245b/WIGeEeS5gBvATkSf2GSB-.png" 
+       alt="Model Illustration" 
+       style="width:50%; max-width:none;" />
+</div>
+ <blockquote> “何が綴られていたのか、私たちの文明では到底理解できない” <br/> （所阐述的内容超出了我们文明的理解范围） <br/> — sasakure.UK </blockquote>
+                  
+# How to use
+
+
+微调基于Qwen2.5-7B-Instruct
+
+
+```python
+
+# Use a pipeline as a high-level helper
+
+from transformers import pipeline
+
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="Minami-su/Amara-o1-7B-Qwen")
+pipe(messages)
+
+
+# Load model directly
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("Minami-su/Amara-o1-7B-Qwen")
+model = AutoModelForCausalLM.from_pretrained("Minami-su/Amara-o1-7B-Qwen")
+```
+
+####  Open Ended Generation Evaluation
+
+<div align="left">
+
+
+
+| Model | Arena-Hard | AlpacaEval 2.0 |
+|-------|------------|----------------|
+| DeepSeek-V2.5-0905 | 76.2 | 50.5 |
+| Qwen2.5-72B-Instruct | 81.2 | 49.1 |
+| LLaMA-3.1 405B | 69.3 | 40.5 |
+| **Amara-o1-7B-Qwen** | ? | 42.12 |
+| **Amara-o2-7B-Qwen** | ? | **51.33** |
+| GPT-4o-0513 | 80.4 | 51.1 |
+| Claude-Sonnet-3.5-1022 | 85.2 | 52.0 |
+| DeepSeek-V3 | **85.5** | **70.0** |
+
+Note: English open-ended conversation evaluations. For AlpacaEval 2.0, we use the length-controlled win rate as the metric.
+</div>