For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /max/get-started.md).

Mojo package

kv_cache

Contains implementations for several types of key-value caches.

KV caches are used in transformer models to store key-value tensors output from self-attention layers, allowing previously computed results to be reused across decoding steps.

This package provides the low-level cache types and index-remapping kernels used during paged and sparse attention. These APIs are consumed by the higher-level functions in the nn package and are not typically called directly by model authors.

Modules

• ​paged_sparse_kv_index_remap: Map logical sequence token indices to MLA sparse physical row encoding.
• ​types: This module contains the types for the key-value cache APIs.

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