Picking the right architecture = Picking the right battles + Managing trade-offs
This worked on 14/May/23. The instructions will probably require updating in the future.
llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)
Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.
08737ef720f0510c7ec2aa84d7f70c691073c35d.
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| # LVDB - LLOOGG Memory DB | |
| # Copyriht (C) 2009 Salvatore Sanfilippo <antirez@gmail.com> | |
| # All Rights Reserved | |
| # TODO | |
| # - cron with cleanup of timedout clients, automatic dump | |
| # - the dump should use array startsearch to write it line by line | |
| # and may just use gets to read element by element and load the whole state. | |
| # - 'help','stopserver','saveandstopserver','save','load','reset','keys' commands. | |
| # - ttl with milliseconds resolution 'ttl a 1000'. Check ttl in dump! |
| # IDA (disassembler) and Hex-Rays (decompiler) plugin for Apple AMX | |
| # | |
| # WIP research. (This was edited to add more info after someone posted it to | |
| # Hacker News. Click "Revisions" to see full changes.) | |
| # | |
| # Copyright (c) 2020 dougallj | |
| # Based on Python port of VMX intrinsics plugin: | |
| # Copyright (c) 2019 w4kfu - Synacktiv |
I am passionate about Ruby, but its execution time compared to other languages is extremely high, especially when we want to use more complex algorithms. In general, data structures in interpreted languages become incredibly slow compared to compiled languages. Some algorithms such as ´n-body´ and ´fannkuch-redux´ can be up to 30 times slower in Ruby than Go. This is one of the reasons I was interested in embedding Go code in a Ruby environment.
For those who do not know how shared libraries operate, they work in a similar way as DLLs in Windows. However, they have a native code with a direct interface to the C compiler.
Note Windows uses the DLL system, and in this case, this does not necessarily have to be in native code.
One example is DLLs written in C#, which runs on a virtual machine. Because I do not use windows, I ended up not testing if it is poss
You also might wanna just use Whisky which does this automatically
This guide works on macOS 13.4+ using Command Line Tools for XCode 15 Beta!
In the recent WWDC, Apple announced and released the "game porting toolkit", which upon further inspection this is just a modified version of CrossOver's fork of wine which is a "compatibility layer" that allows you to run Windows applications on macOS and Linux.
| SPC | |
| SPC: find file | |
| , switch buffer | |
| . browse files | |
| : MX | |
| ; EX | |
| < switch buffer | |
| ` eval | |
| u universal arg | |
| x pop up scratch |
