初始化项目，由ModelHub XC社区提供模型

Model: ReasoningTransferability/UniReason-Qwen3-14B-RL
Source: Original Platform

paper_metadata.json

@@ -0,0 +1,22 @@
+{
+  "paper": {
+    "title": "Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning",
+    "arxiv_id": "2507.00432",
+    "arxiv_url": "https://arxiv.org/abs/2507.00432",
+    "authors": [
+      "Research Team"
+    ],
+    "abstract": "Math reasoning has become the poster child of progress in large language models (LLMs), with new models rapidly surpassing human-level performance on benchmarks like MATH and AIME. But as math leaderboards improve week by week, it is worth asking: do these gains reflect broader problem-solving ability or just narrow overfitting?"
+  },
+  "model": {
+    "name": "UniReason-Qwen3-14B-RL",
+    "base_model": "qwen3-14b",
+    "training_method": "RL-GRPO",
+    "task_focus": "math-reasoning",
+    "upload_date": "2025-07-03T18:49:36.282079"
+  },
+  "repository": {
+    "repo_name": "ReasoningTransferability/UniReason-Qwen3-14B-RL",
+    "huggingface_url": "https://huggingface.co/ReasoningTransferability/UniReason-Qwen3-14B-RL"
+  }
+}