A developer has created a new 2 billion parameter model called Engram, which utilizes a 1 billion parameter Engram table for enhanced token probability. Despite training on only 15 million tokens, the model demonstrates surprising coherence, avoiding common early-stage repetition issues. The developer, who has prior experience in ML and red teaming at Anthropic, aims to release the model under an Apache 2.0 license for community use, noting it is trainable on 24GB of VRAM. AI
IMPACT Offers a novel approach to small model training, potentially enabling more accessible AI development.
RANK_REASON Developer's release of a novel, small-parameter AI model with unique architectural components. [lever_c_demoted from research: ic=1 ai=1.0]
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