add readme

README.md

@@ -1,3 +1,43 @@
 ---
 license: apache-2.0
 ---
+
+
+Homer-v1.0-Qwen2.5-7B is a fine-tuned version of Qwen2.5-7B using a large amount of instruction-based data.  
+We released the math subset of our dataset (https://huggingface.co/datasets/newsbang/homer_math_v0.1), and we also analyzed the data leakage of current open-source math datasets on the benchmark (https://huggingface.co/datasets/newsbang/math_benbench_data_leak_analysis).
+
+
+### How to use
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "newsbang/Homer-v1.0-Qwen2.5-7B"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+messages = [
+    {"role": "system", "content": "You are a very helpful assistant."},
+    {"role": "user", "content": "Hello"}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+```