---
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model: Qwen/Qwen3-30B-A3B-Base
tags:
  - qwen3
  - grpo
  - reasoning
  - math
---

# Qwen3-30B-A3B GRPO Low-Precision Control — Step 410

This is a research checkpoint derived from
[`Qwen/Qwen3-30B-A3B-Base`](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base)
with group-relative policy optimization on mathematical reasoning data.
It is the retained step-410 checkpoint from the low-precision control run.

The checkpoint is exported as standard BF16 Hugging Face `safetensors`; it
does not require custom low-precision inference kernels.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "shawnzzzzz/Qwen3-30B-A3B-GRPO-LowPrecision-Control-Step410"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
)
```

Use `transformers>=4.51.0` for Qwen3-MoE support.

## Notes

This run ended at step 410, so it is not step-matched to the two step-800
checkpoints in the accompanying comparison. This is an intermediate research
checkpoint, not a production release. Users should independently evaluate
correctness, safety, and suitability for their deployment setting. The
base-model license applies.