This guide is for homelab admins who understand IPv4s well but find setting up IPv6 hard or annoying because things work differently. In some ways, managing an IPv6 network can be simpler than IPv4, one just needs to learn some new concepts and discard some old ones.
Let’s begin.
First of all, there are some concepts that one must unlearn from ipv4:
Concept 1
| 0810 b' from ' | |
| 0678 b' ssh2' | |
| 00d8 b'%.48s:%.48s():%d (pid=%ld)\x00' | |
| 0708 b'%s' | |
| 0108 b'/usr/sbin/sshd\x00' | |
| 0870 b'Accepted password for ' | |
| 01a0 b'Accepted publickey for ' | |
| 0c40 b'BN_bin2bn\x00' | |
| 06d0 b'BN_bn2bin\x00' | |
| 0958 b'BN_dup\x00' |
| name: CI | |
| on: push | |
| jobs: | |
| brakeman: | |
| name: Brakeman | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - uses: ruby/setup-ruby@v1 | |
| with: |
| create_table :stowaway_records do |t| | |
| t.string :record_type, null: false | |
| t.jsonb :record_attributes, null: false, default: {} | |
| t.timestamps | |
| t.index :record_type | |
| end | |
| class Stowaway::Record < ActiveRecord::Base | |
| def self.preserve(record) | |
| create! record_type: record.class, record_attributes: record.attributes |
Official website: https://2023.euruko.org
Agenda: https://2023.euruko.org/agenda
Place: Vilnius, Vilnius Gediminas Technical University, 🗺️ → https://2023.euruko.org/map
| # spec.cr | |
| require "spectator" | |
| require "./spec_helper" | |
| Spectator.describe OrderCalculator do | |
| inject_mock Database | |
| def_mock(Product) | |
| it "multiplies the product price by given quantity" do | |
| product = new_mock(Product) |
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.