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semianalysisai/Qwen3.6-35B-A3B-countdown-GRPO-20260909
Qwen3.6-35B-A3B-countdown-GRPO-20260909 is a reinforcement learning model from semianalysisai. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
A specialist checkpoint for countdown puzzles, trained from Qwen3.6-35B-A3B with 40 updates of verifier-reward GRPO (Group Relative Policy Optimization).
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From the Hugging Face model README
A specialist checkpoint for countdown puzzles, trained from Qwen3.6-35B-A3B with 40 updates of verifier-reward GRPO (Group Relative Policy Optimization).
| Setting | Value |
|---|---|
| Base model | Qwen/Qwen3.6-35B-A3B |
| Training puzzles | 10,000, generated with Reasoning Gym |
| GRPO updates | 40 |
| Batch per update | 32 prompts × 8 responses = 256 responses |
| Learning rate | 1e-6 |
| Response limit | 256 tokens; thinking disabled |
| Hardware | 1 node with 8 × NVIDIA B200 GPUs |
| Training framework | Miles |
Each specialist was trained on its own puzzle domain. Reasoning Gym generated 10,000 training puzzles per domain.
| Component | Source revision |
|---|---|
| Base model | 995ad96eacd98c81ed38be0c5b274b04031597b0 |
Miles — radixark/miles, PR #3116 | 8f8e4dff55d80bd9d36c3490c333a119f38480ed |
| Reasoning Gym | 49b07130b3fcd12f2d064bba7c43869543a0e7e7 |
SGLang used the Triton MoE backend because automatic backend selection failed during weight transfer.
</details>Companion checkpoint: Graph Coloring