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computer-arithmetic

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anomly-labs / open-bposit

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Open, bit-reproducible low-precision number format (b-posit / AI-Posit) for AI inference — 30–50% less memory, with results identical to the bit on any GPU, CPU, or RISC-V. Reference + conformance suite + CORE-ET RTL

fpga rtl systemverilog reproducibility quantization hardware-acceleration risc-v open-source-hardware number-format posit determinism computer-arithmetic low-precision edge-ai tinyml llm-inference tinyai w8a8 bit-exact bposit
  • Updated Aug 12, 2026
  • Python

anomly-labs / rl-reproducibility

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Float accumulation order alone flips RL reward verdicts and sampler/trainer probabilities — reproduce it on real GPT-2, then remove it with an order-independent reduction. numpy-only, runs in seconds.

reinforcement-learning numpy floating-point reproducibility posit quire numerical-stability post-training determinism computer-arithmetic gpt-2 bfloat16 numerical-computing nondeterminism rlhf reward-model llm-training llm-evaluation grpo bit-exact
  • Updated Aug 16, 2026
  • Python

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