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Model: andrewlngdn/dsl-debug-7b-rl-only-step30
Source: Original Platform

README.md

@@ -0,0 +1,62 @@
+---
+license: mit
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+  - debugging
+  - tool-use
+  - multi-turn
+  - reinforcement-learning
+  - grpo
+datasets:
+  - custom
+language:
+  - en
+pipeline_tag: text-generation
+---
+
+# DSL Debug 7B — RL-Only Step 30
+
+Qwen2.5-7B-Instruct trained with GRPO (Group Relative Policy Optimization) directly from the base model, no SFT warmup.
+
+**Blog post:** [Multi-Turn RL for Code Debugging](https://andrewlngdn.github.io/dsl_debugger/)
+**Code + environment:** [github.com/AndrewLngdn/dsl-debug](https://github.com/AndrewLngdn/dsl-debug)
+
+## Training
+
+- **Method**: GRPO with multi-turn tool use (verl 0.7 + sglang 0.5.6)
+- **Base model**: Qwen2.5-7B-Instruct (no SFT warmup)
+- **Steps**: 30 (batch size 512, 8 rollouts per prompt)
+- **LR**: 1e-5 cosine
+- **Reward**: Binary (1.0 if submitted code matches expected output, 0.0 otherwise)
+- **Hardware**: 2x A100-SXM4-80GB
+
+## Results (held-out test, one-shot)
+
+| Split | Base Model | This Model |
+|-------|:---:|:---:|
+| Standard (481) | 50.5% | **78.8%** |
+| Nonlocal (200) | 12.0% | **54.0%** |
+| Intent-Mismatch (177) | 0.6% | **14.7%** |
+
+## Alignment Tax
+
+| Benchmark | Base | This Model |
+|-----------|:---:|:---:|
+| MMLU (5-shot) | 74.6% | 74.7% |
+| GSM8K (8-shot) | 84.9% | 84.4% |
+| HumanEval (0-shot) | 65.9% | 59.1% |
+
+## Usage
+
+```python
+from huggingface_hub import snapshot_download
+snapshot_download("andrewlngdn/dsl-debug-7b-rl-only-step30",
+    local_dir="/workspace/models/rl_only_step30")
+```
+
+## Related Models
+
+| Model | Repo |
+|-------|------|
+| **SFT then RL step 35 (best)** | [andrewlngdn/dsl-debug-7b-sft-rl](https://huggingface.co/andrewlngdn/dsl-debug-7b-sft-rl) |
+| SFT step 100 | [andrewlngdn/dsl-debug-7b-sft-step100](https://huggingface.co/andrewlngdn/dsl-debug-7b-sft-step100) |