TESM (Token-Entangled State Machine) - A novel LLM architecture based on state entanglement theory, combining State Space Models with local entanglement mechanisms for efficient long-sequence modeling
nlp deep-learning cuda pytorch triton ssm mamba entanglement quantum-entanglement state-space-model sequence-modeling llm large-language-model transformer-alternative token-entanglement int2-quantization
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Updated
Jun 8, 2026 - Python