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/692bdd2b-98b4-8012-bcf8-fa145b46c56a
(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!
=== π― Final Practical Advice === If your main goal is local LLM evaluation, especially 20B-class with 16k context: ===== π Best overall: MacBook Pro M4 Pro (24 GB) ===== ===== π Best value: MacBook Air M4 (32 GB) ===== ===== π Best long-term / intensive: MacBook Pro M4 Max (36 GB+). ===== If you tell me: * your typical batch size * whether you run one or multiple models * typical context length (beyond 16k?) * whether you care more about latency or throughput β¦I can give you an exact tokens/sec prediction for your workflow (not just ranges).
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)
