| --- |
| license: apple-amlr |
| base_model: |
| - Qwen/Qwen3-30B-A3B-Instruct-2507 |
| tags: |
| - self-distillation |
| - code-generation |
| - ssd |
| library_name: transformers |
| --- |
| |
| # SSD-Qwen3-30B-A3B-Instruct |
|
|
| This model was produced using **Simple Self-Distillation (SSD)**, a method that improves code generation by fine-tuning a language model on its own sampled outputs—without rewards, verifiers, teacher models, or reinforcement learning. |
|
|
| - **Base model:** [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) |
| - **Variant:** instruct |
| - **Self-distillation sampling:** temperature=1.6, top_p=0.8, top_k=20 |
| - **Evaluation sampling:** temperature=0.9, top_p=0.8, top_k=20 |
|
|
| ## Method |
|
|
| SSD samples solutions from the base model using non-unit temperature and top-k/top-p truncation, then fine-tunes on those samples via standard supervised learning. Despite its simplicity, SSD yields large gains on competitive programming benchmarks, with improvements concentrating on harder problems. The mechanism traces to resolving a *precision–exploration conflict*: SSD reshapes token distributions in a context-dependent way so that a single global decoding configuration becomes far more effective at evaluation time. |
|
|
| ## Results |
|
|
| LiveCodeBench (%) |
|
|
| | Model | LCBv6 pass@1 | LCBv6 pass@5 | LCBv5 pass@1 | LCBv5 pass@5 | |
| |---|---|---|---|---| |
| | Qwen3-30B-A3B-Instruct-2507 (base) | 42.4 | 53.5 | 45.8 | 58.7 | |
| | **+ SSD (this model)** | **55.3** (+12.9) | **71.6** (+18.1) | **54.3** (+8.5) | **70.7** (+12.0) | |
|
|
| ## Paper |
|
|
| **Embarrassingly Simple Self-Distillation Improves Code Generation** |
|
|
| Ruixiang Zhang, Richard He Bai, Huangjie Zheng, Navdeep Jaitly, Ronan Collobert, Yizhe Zhang |
|
|
| ## Usage |
|
|
| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
| |
| model = AutoModelForCausalLM.from_pretrained("apple/SSD-Qwen3-30B-A3B-Instruct") |
| tokenizer = AutoTokenizer.from_pretrained("apple/SSD-Qwen3-30B-A3B-Instruct") |
| ``` |
|
|
| ## License |
|
|
| This model is released under the [Apple Machine Learning Research Model License](https://huggingface.co/apple/SSD-Qwen3-30B-A3B-Instruct/blob/main/LICENSE). |
|
|
