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In a Training Loop 🔄
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OpenSourceHealth
Khyatimirani
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khyati_mirani
khyatimirani
khyatimirani
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Turning clinical knowledge into open AI systems for women’s health.
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Khyatimirani/pcos-nutrition-natural-compound
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O(1) inference is the foundational design of Spartacus-1B-Instruct 🛡️ ! https://huggingface.co/NoesisLab/Spartacus-1B-Instruct We have successfully replaced the KV-cache bottleneck inherent in Softmax Attention with Causal Monoid State Compression. By defining the causal history as a monoid recurrence, , the entire prefix is lossily compressed into a fixed-size state matrix per head. The technical core of this architecture relies on the associativity of the monoid operator: Training: parallel prefix scan using Triton-accelerated JIT kernels to compute all prefix states simultaneously. Inference: True sequential updates. Memory and time complexity per token are decoupled from sequence length. Explicit Causality: We discard RoPE and attention masks. Causality is a first-class citizen, explicitly modeled through learned, content-dependent decay gates. Current zero-shot benchmarks demonstrate that Spartacus-1B-Instruct (1.3B) is already outperforming established sub-quadratic models like Mamba-1.4B and RWKV-6-1.6B on ARC-Challenge (0.3063). Recent integration of structured Chain-of-Thought (CoT) data has further pushed reasoning accuracy to 75%. The "Spartacus" era is about scaling intelligence, not the memory wall ♾️.
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Khyatimirani/pcos-fertility-llama3-8b
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Khyatimirani/pcos-fertility-llama3-8b-lora
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Khyatimirani/pcos-nutrition-natural-compound
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210
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Khyatimirani/fertility_env_factors_effect_factsheets_eshre
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Khyatimirani/pcos-management-patient-qa-from-eshre-guideline
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6 days ago
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742
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Khyatimirani/pcos-assessment-management-guideline
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Khyatimirani/PCOS_lifestyle_and_mental_health_FAQ
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16 days ago
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240
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Khyatimirani/women-health-ferility-natural-try-QA
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17 days ago
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48
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Khyatimirani/womens-health-fertility-safety-qa
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166
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Khyatimirani/pcos-clinical-knowledge-layer
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