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Model: dmaheshwar22/qwen-1.5b-coder-grpo-scratch-step200 Source: Original Platform
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165
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- code
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- python
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- reinforcement-learning
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- grpo
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- rlvr
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- verifiable-rewards
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datasets:
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- evalplus/mbppplus
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- evalplus/humanevalplus
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---
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# Qwen-2.5-Coder-1.5B — GRPO from base, 200 steps
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GRPO-trained variant of `Qwen/Qwen2.5-Coder-1.5B-Instruct`, optimized with
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**verifiable rewards from sandboxed test execution** — same family of
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techniques behind DeepSeek-R1 and Kimi-K1.5, scaled down to a 1.5B model
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that fits on a single 24 GB GPU.
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> **Honest framing:** this is a **pipeline-validation run**, not the
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> headline checkpoint. Trained from base (no SFT warm-start), 200 steps,
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> single A100. Pass@1 on HumanEval+ is essentially tied with the SFT
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> baseline — see [Results](#results) for numbers. The headline run
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> (SFT-warmstarted, 500+ steps) is forthcoming as a separate model.
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## Training setup
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| | |
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|---|---|
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| Base model | `Qwen/Qwen2.5-Coder-1.5B-Instruct` |
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| RL algorithm | GRPO (group-relative policy optimization) |
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| RL framework | [verl](https://github.com/volcengine/verl) v0.7.0 |
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| Rollout engine | vLLM |
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| Group size (samples per prompt) | 8 |
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| Train batch | 32 prompts × 8 rollouts = 256 candidates per step |
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| Learning rate | 1e-6 |
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| KL coefficient (loss-side) | 0.04, low-variance KL |
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| KL coefficient (reward-side) | 0.001 |
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| Temperature (rollout) | 1.0 |
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| Total steps | 200 |
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| Hardware | 1× A100 80 GB (FSDP with CPU offload) |
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| Warm-start | None — trained from base instruct model |
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| Training data | 319 MBPP-train prompts (MBPP+ contamination removed) |
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### Reward function
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Each rollout is scored by a composite reward executed in a sandboxed
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Docker container running pytest:
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- **Test-pass rate** (primary signal) — fraction of hidden tests passing
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- **Lint reward** — `ruff` clean code bonus
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- **Length penalty** — anti-verbosity
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- **Compile-error penalty** — hard penalty for non-runnable code
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All numeric rewards are bounded in `[0, ~1.1]` to keep GRPO group-relative
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advantages well-scaled.
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## Results
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Greedy decoding, n=5 samples, temperature=0.2, evaluated with
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[evalplus](https://github.com/evalplus/evalplus):
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| Setup | HumanEval+ pass@1 | HumanEval+ pass@5 |
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|---|---|---|
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| Qwen-2.5-Coder-1.5B base | 0.627 | — |
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| + SFT (3 epochs LoRA on rejection-sampled MBPP) | 0.638 | — |
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| **+ GRPO from base, 200 steps (this model)** | **0.6415** | **0.6890** |
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| + SFT + Coordinator retry (max 3 rounds) | 0.677 | — |
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| Best-of-8 @ T=0.7 (oracle ceiling) | 0.783 | — |
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**Reading the numbers honestly:**
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- +1.4 pts over base, +0.4 pts over SFT — the SFT delta is within noise
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(no paired bootstrap significance at p<0.05 on 164 problems).
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- Pass@5 = 0.689 implies the policy *can* solve ~69% of HumanEval+; the
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4.7-pt gap to pass@1 says it picks the wrong sample at temp=0.2 about
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5% of the time. There's headroom — this is not a converged policy.
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- Most likely cause of the modest lift: trained from base instead of
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SFT-warmstarted, and stopped at step 200. The
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[WEEK4_GUIDE](https://github.com/Devesh-Maheshwari/verifiable-rl-coder/blob/main/docs/WEEK4_GUIDE.md)
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projection of 0.68–0.75 assumes both SFT warm-start and 500–1000 steps.
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## Intended use
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- **Research and education** — concrete reference for end-to-end GRPO with
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verifiable rewards on a small open coder. Reward function, sandbox, and
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training config are all open-source in the
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[companion repo](https://github.com/Devesh-Maheshwari/verifiable-rl-coder).
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- **NOT for production inference** — at 0.64 pass@1 it is no stronger than
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the SFT baseline; use the headline run (forthcoming) for that.
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## How to use
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "dmaheshwar22/qwen-1.5b-coder-grpo-scratch-step200"
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tok = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, dtype="bfloat16", device_map="auto")
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prompt = "Write a Python function `is_prime(n: int) -> bool` that returns True iff n is prime."
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messages = [{"role": "user", "content": prompt}]
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inputs = tok.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to(model.device)
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out = model.generate(inputs, max_new_tokens=256, temperature=0.2, do_sample=True)
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print(tok.decode(out[0][inputs.shape[1]:], skip_special_tokens=True))
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```
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Or with vLLM for batched evaluation:
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```python
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from vllm import LLM, SamplingParams
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llm = LLM(model="dmaheshwar22/qwen-1.5b-coder-grpo-scratch-step200",
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gpu_memory_utilization=0.5, dtype="bfloat16")
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out = llm.generate(["def is_prime(n):"],
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SamplingParams(max_tokens=256, temperature=0.2))
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print(out[0].outputs[0].text)
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```
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## Limitations
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- **Coding-only.** Trained on MBPP-style Python tasks; do not expect
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general-purpose chat or reasoning quality outside coding.
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- **Output format.** Despite the in-training markdown-fence stripping fix,
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the policy occasionally still wraps code in ```` ``` ````. Strip fences
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in any downstream evaluator.
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- **Sandbox required for reward replay.** Reproducing the training reward
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signal requires running pytest in a Docker container with the project's
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resource limits — see the companion repo's `sandbox/runner.py`.
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- **Not safety-tuned.** Inherits all behaviors of the base instruct model.
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## Reproduction
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Full training config, reward function, and sandbox runner are in the
|
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companion repo:
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- Repo: <https://github.com/Devesh-Maheshwari/verifiable-rl-coder>
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- Training config: `configs/grpo_qwen1_5b.yaml`
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- Reward fn: `src/verifiable_rl_coder/training/grpo_reward.py`
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- Sandbox: `src/verifiable_rl_coder/sandbox/runner.py`
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- CHTC submit scripts: `chtc/train_grpo.{sub,sh}`, `chtc/submit_train_grpo.sh`
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## Citation
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```bibtex
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@misc{verifiable-rl-coder-2026,
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author = {Maheshwari, Devesh},
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title = {Verifiable-RL Coder: GRPO-trained Qwen-2.5-Coder with sandboxed verifiable rewards},
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year = {2026},
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howpublished = {\url{https://github.com/Devesh-Maheshwari/verifiable-rl-coder}}
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}
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```
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## Acknowledgments
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- [Qwen team](https://huggingface.co/Qwen) for the strong open-weights coder base.
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- [verl](https://github.com/volcengine/verl) for the production-grade GRPO trainer.
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- [evalplus](https://github.com/evalplus/evalplus) for the hardened HumanEval+/MBPP+ benchmarks.
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- Trained on UW-Madison Center for High Throughput Computing (CHTC) resources.
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added_tokens.json
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
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{{- '\n<tool_response>\n' }}
|
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{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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||||
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
|
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"hidden_size": 1536,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 8960,
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"layer_types": [
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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|
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|
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|
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|
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|
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|
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|
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"full_attention",
|
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|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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|
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"full_attention",
|
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|
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|
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|
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|
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|
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"full_attention"
|
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|
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"max_position_embeddings": 32768,
|
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"max_window_layers": 28,
|
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"model_type": "qwen2",
|
||||
"num_attention_heads": 12,
|
||||
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|
||||
"num_key_value_heads": 2,
|
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|
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|
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|
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|
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|
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"tie_word_embeddings": true,
|
||||
"transformers_version": "4.57.3",
|
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"use_cache": true,
|
||||
"use_sliding_window": false,
|
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"vocab_size": 151936
|
||||
}
|
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generation_config.json
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{
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"do_sample": true,
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"repetition_penalty": 1.1,
|
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"temperature": 0.7,
|
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"top_k": 20,
|
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"top_p": 0.8,
|
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|
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}
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merges.txt
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merges.txt
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3554214752
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special_tokens_map.json
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special_tokens_map.json
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{
|
||||
"additional_special_tokens": [
|
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"<|im_start|>",
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|
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|
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"eos_token": {
|
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"content": "<|im_end|>",
|
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
||||
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|
||||
"pad_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
207
tokenizer_config.json
Normal file
207
tokenizer_config.json
Normal file
@@ -0,0 +1,207 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user