chore: import upstream snapshot with attribution
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.. _cachegen:
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CacheGen
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===================
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.. warning::
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This page documents the behavior of LMCache's in-process mode (deprecated). Please consider using :doc:`LMCache MP mode </mp/index>` for better feature support and performance. For the MP mode equivalent of this page, see :doc:`/mp/cachegen`.
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Cachegen leverages KV cache's distributional properties to encode a KV cache into more compact bitstream representations with negligible decoding overhead.
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Configuring CacheGen in LMCache
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---------------------------------------
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The settings should be very similar to :ref:`naive KV cache sharing <share_kv_cache>`.
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Only minor configurations need to be done to enable CacheGen.
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To enable CacheGen in offline inference, we need to set:
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.. code-block:: python
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# Enable cachgen compression in LMCache
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os.environ["LMCACHE_REMOTE_SERDE"] = "cachegen"
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To enable CacheGen in online inference, we need to set the ``remote_serde`` in the configuration yaml:
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.. code-block:: yaml
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# Enable cachgen compression in LMCache
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remote_serde: "cachegen"
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Compression
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===========
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KV cache compression can greatly reduces the size of the cache, which can be beneficial for both storage/memory usage and loading speed.
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Currently, we support the following compression algorithms:
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- :ref:`CacheGen <cachegen>`: `CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving <https://dl.acm.org/doi/10.1145/3651890.3672274>`_
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.. toctree::
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:maxdepth: 1
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cachegen
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