Engram
An internal memory mechanism introduced in DeepSeek-V4.1-Flash that allocates a portion of the model's weight capacity—197B parameters—as an n-gram memory table. High-frequency language patterns are handled via lookup rather than forward computation, reducing inference cost.
Core Facts
Timeline (last 90 days)
Engram is a hash-based n-gram memory stored in host memory and attached to 2 of the 72 layers; mHC replaces the traditional single residual stream with 4 residual streams.
Music tech startup Thoughtful Things has launched a Kickstarter crowdfunding campaign for its first hardware instrument, Engram.
Engram is a hardware device that combines a sampler and a groovebox, using AI to mangle input audio and generate entirely new sounds.
Engram explicitly states that it is not "Suno in a box" and is not a one-click song-generation device.
Engram presents AI audio processing in a groovebox form factor, emphasizing that performers make decisions in the moment rather than repeatedly tweaking parameters in a software interface.
Engram combines a sampler with a groovebox, aiming to cover the complete chain from sound capture and AI processing to rhythm arrangement.
Engram positions AI as a "new type of instrument" that expands human capability rather than an "automatic composition machine" that replaces humans.
Harvey and Engram used the model to build a synthetic law firm, achieving an average score of 67 across 250 legal tasks, higher than all models evaluated in the study.
DeepSeek-V4.1-Flash's KV cache is compressed to 890 bytes per token, only one-quarter that of V4 Flash.
Engram dedicates one quarter of the entire checkpoint's capacity to n-gram memory, reaching a scale of 197B parameters.
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All Facts (12)
DeepSeek-V4.1-Flash's KV cache is compressed to 890 bytes per token, only one-quarter that of V4 Flash.
65%UnverifiedEngram is a hash-based n-gram memory stored in host memory and attached to 2 of the 72 layers; mHC replaces the traditional single residual stream with 4 residual streams.
50%UnverifiedEngram is a hardware device that combines a sampler and a groovebox, using AI to mangle input audio and generate entirely new sounds.
50%UnverifiedEngram explicitly states that it is not "Suno in a box" and is not a one-click song-generation device.
50%UnverifiedEngram presents AI audio processing in a groovebox form factor, emphasizing that performers make decisions in the moment rather than repeatedly tweaking parameters in a software interface.
50%UnverifiedEngram combines a sampler with a groovebox, aiming to cover the complete chain from sound capture and AI processing to rhythm arrangement.
50%UnverifiedEngram positions AI as a "new type of instrument" that expands human capability rather than an "automatic composition machine" that replaces humans.
50%UnverifiedHarvey and Engram used the model to build a synthetic law firm, achieving an average score of 67 across 250 legal tasks, higher than all models evaluated in the study.
50%UnverifiedEngram dedicates one quarter of the entire checkpoint's capacity to n-gram memory, reaching a scale of 197B parameters.
50%UnverifiedEngram is part of the model's internal weight structure, rather than calling an external knowledge base like RAG.
50%UnverifiedEngram handles high-frequency language patterns by looking up pre-stored n-gram memories rather than computing them in real time, shifting part of the language modeling burden from computation to in-memory lookup.
50%UnverifiedThe term "engram" originates from neuroscience and was first proposed in 1904 by German zoologist Richard Semon, referring to the physical or chemical traces left in the brain by experience.
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