Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
freem
Search
Search
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Openai/692db884-c2d8-800c-a357-aa2a0e684fbe
(section)
Add languages
Page
Discussion
English
Read
Edit
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
Edit source
View history
General
What links here
Related changes
Special pages
Page information
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
===== There is prior art around: ===== * Compressed RAM on CPUs (zram, zswap). * Research and some vendor work on GPU compressed memory and “buddy compression”: - Where parts of VRAM or backing store are transparently compressed to increase effective capacity. These are: * Very similar in philosophy: “present a larger virtual memory pool via transparent compression.” * Usually implemented at the driver/hardware/OS level, not as a userland LLM-specific hook. * Not generally exposed as: “drop this user .so in and your LLM fits now.” So: closest conceptual cousin, but: * Not LoreToken-aware * Not specialized for LLM tensors * Not something you casually LD_PRELOAD into an existing stack.
Summary:
Please note that all contributions to freem are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 (see
Freem:Copyrights
for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource.
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)