初始化项目，由ModelHub XC社区提供模型

Model: JinyiHan/JET-1.5B
Source: Original Platform

README.md

@@ -0,0 +1,38 @@
+---
+license: apache-2.0
+tags:
+  - text-generation
+  - causal-lm
+  - reasoning
+library_name: transformers
+---
+# JET-1.5B
+
+JET-1.5B is designed to improve the efficient reasoning of LLMs by training the base **DeepSeek-Distill-Qwen-1.5B**  model with a reinforcement learning framework. Through this training, the model learns to generate high-quality reasoning steps while minimizing unnecessary computation and token usage.
+
+
+# Training Code
+
+Our training pipeline is available on GitHub: [Just-Enough-Think](https://github.com/JinyiHan99/Just-Enough-Think/)
+
+The repository contains scripts for:
+- RL-based fine-tuning
+- Evaluation and benchmarking
+
+## Chat Template
+
+```python
+def build_JET_chat_template(question, tokenizer):
+    system_prompt = (
+        "You are a helpful AI assistant. A conversation takes place between the User "
+        "and the Assistant. The User asks a question, and the Assistant solves it.\n"
+        "Please help me solve this question. Wrap only the final answer in \\boxed{}."
+    )
+    return tokenizer.apply_chat_template(
+        [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": question}
+        ],
+        tokenize=False,
+        add_generation_prompt=True
+    )