$500 GPU outperforms Claude Sonnet on coding benchmarks
A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.
github.com
8 min
2d ago
$500 GPU outperforms Claude Sonnet on coding benchmarks
A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.
github.com
8 min
2d ago
$500 GPU outperforms Claude Sonnet on coding benchmarks
A.T.L.A.S achieves a 74.6% pass rate on LiveCodeBench with a frozen 14B model using a single consumer GPU, significantly improving from the previous 36-41% in V2. The system utilizes constraint-driven generation and self-verified iterative refinement, allowing a smaller model to compete with larger models at a reduced cost without fine-tuning.
github.com
8 min
2d ago
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