初始化项目，由ModelHub XC社区提供模型

Model: bhaveshsoni0023/qwen2.5-1.5b-grpo-gsm8k
Source: Original Platform

README.md

@@ -0,0 +1,41 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B
+datasets: [openai/gsm8k]
+pipeline_tag: text-generation
+tags: [grpo, reinforcement-learning, nemo-rl, math]
+---
+
+# Qwen2.5-1.5B GRPO GSM8K
+
+Qwen2.5-1.5B trained with GRPO using NVIDIA NeMo RL v0.7.0.
+
+## Results
+
+| Model | GSM8K test (pass@1) | Correct |
+|---|---|---|
+| Qwen/Qwen2.5-1.5B (base) | 35.03% | 462 / 1319 |
+| This model | 73.84% | 974 / 1319 |
+
++38.8 points, 2.1x relative. Both models evaluated identically on the full
+1319-problem GSM8K test split, greedy decoding, same prompt template.
+
+## Training
+
+- GRPO, 130 steps, 16 prompts x 8 generations (2,080 samples)
+- Reward: binary exact-match on the answer inside boxed tags
+- DTensor v2 trainer + vLLM generation, colocated
+- 1x H100 80GB, ~3 hours
+- lr 1e-6 AdamW, KL penalty 0.01, clip 0.2/0.2, seq len 1024
+
+No human-written solutions. The model learned from a programmatic grader.
+
+## Prompt format
+
+Trained with this template and expects it at inference. A bare question without
+the wrapper degrades results substantially.
+
+    Think step-by-step to solve the following problem. Output your answer inside of \boxed{} tags.:
+    {question}
+
+    Let's think step-by-step