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Tyler Hilbert

TylerHilbert
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Performance Testing

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replied to OzTianlu's post about 5 hours ago
🚀 Geilim-1B-Instruct — Implicit Deep Reasoning, Zero Verbosity https://huggingface.co/NoesisLab/Geilim-1B-Instruct https://huggingface.co/collections/NoesisLab/geilim-large-language-models No <think> tags. No long CoT. Reasoning happens inside the hidden states, not in the output. What’s different 🧠 Implicit reasoning: deep causal reasoning without exposing chains 🕸️ ASPP (Adjacency-Structured Parallel Propagation): parent-only causal graph, O(n) message passing 🌊 π-flow: internal probability-space refinement instead of token-level deliberation ⚖️ Hybrid gating: learns when to use structure vs attention Why it matters Lower latency & token cost Cleaner, production-ready outputs CoT-level reasoning depth without verbosity tax Built on Llama-3.2-1B-Instruct, trained for math, logic, and commonsense. Designed for small-model reasoning at the edge. #ImplicitReasoning #SmallLLM #EfficientAI #ReasoningModels #ASPP #PiFlow
new activity about 6 hours ago
GPUMODE/KernelBook:Mining The Stack vs Synthetically Generating Dataset
updated a dataset about 6 hours ago
TylerHilbert/PyTorchConference2025_GithubRepos
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