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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.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

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# ffmpeg -i foo.m4a foo.wav

from pyannote.audio import Pipeline

pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
diarization = pipeline("foo.wav")

# RTTM format https://catalog.ldc.upenn.edu/docs/LDC2004T12/RTTM-format-v13.pdf
with open("foo.rttm", "w") as rttm:
    diarization.write_rttm(rttm)

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# Makefile for transregion

CFLAGS = -g
LDFLAGS = -L/usr/X11R6/lib -lXpm -lXext -lX11 -lm

all: transregion

transregion: transregion.o
	$(CC) -o transregion transregion.o $(LDFLAGS)

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/*
 * NOTE: This is a little long because I'm including all XCB setup I have
 * (including handling tiling window managers). It's below the main cairo logic
 * for ease, but included for posterity. This is a subset of a larger program
 * I'm working on.
 *
 * WHAT THIS IS:
 *    A sample program illustrating a problem I'm having with cairo/xcb, where I
 *    want to have a window that supports transparency (alpha channel) for the
 *    background color, and other components, with a regular re-draw cycle

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#!/bin/bash

ngram_count_file="$1"
lm_file="$2"

awk -v f="$ngram_count_file"\
  'function log10(x){ return log(x)/log(10.0) }
   BEGIN {
     while (getline < f) {
       if(/[0-9]+\t[^ ]+$/)             { type[1]++; token[1]=token[1]+$1 }

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#!/usr/bin/env lua

conky_color = "${color1}%2d${color}"

t = os.date('*t', os.time())
year, month, currentday = t.year, t.month, t.day

daystart = os.date("*t",os.time{year=year,month=month,day=01}).wday

month_name = os.date("%B")

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#!/usr/bin/env -S bash -e

# REPO='https://gitlab.gnome.org/GNOME/vte.git'
REPO='https://github.com/GNOME/vte.git'
LIBPATH='/usr/local/lib/x86_64-linux-gnu'
LDCONFPATH='/etc/ld.so.conf'

# See Deps:
# https://github.com/GNOME/vte/blob/master/meson.build
# On Ubuntu 21.04, GNOME-Terminal 3.38.1:

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// gcc test.c -lX11 -lXext
/* Some clumsy app to test X11 Shape extension.
 *
 * The app window consists of three zones:
 *     +-------+
 *     |   A   |
 *     +---+---+
 *     | B | C |
 *     +---+---+
 *

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watch --difference=cummulative --interval=1 '(echo device read_IOs read_merges read_sectors read_ticks write_IOs write_merges write_sectors write_ticks in_flight io_ticks time_in_queue; for file in /sys/block/*/stat; do echo -n $file; cat $file; done) | column -t'
# OUTPUTS:
#device                 read_IOs  read_merges  read_sectors  read_ticks  write_IOs  write_merges  write_sectors  write_ticks  in_flight  io_ticks  time_in_queue
#/sys/block/dm-0/stat   116962    0            2212746       314096      7705653    0             150218536      609670232    0          644428    610921004
#/sys/block/dm-1/stat   116479    0            2208882       313324      7686986    0             150218536      609676068    0          644616    611418072
#/sys/block/dm-2/stat   302       0            2416          780         0          0             0              0            0          148       780
#/sys/block/sda/stat    91181     26273        2217246       74876       7314854    388030        150261802      16954364 

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// -*- coding:utf-8-unix; mode:c; -*-
//
// get the active window on X window system
//

#include <stdlib.h>
#include <stdio.h>
#include <locale.h>

#include <X11/Xlib.h>           // `apt-get install libx11-dev`