Instructions to use AJKADZ/PHI_CODER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AJKADZ/PHI_CODER with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: llama cli -hf AJKADZ/PHI_CODER:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AJKADZ/PHI_CODER:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf AJKADZ/PHI_CODER:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AJKADZ/PHI_CODER:Q4_K_M
Use Docker
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use AJKADZ/PHI_CODER with Ollama:
ollama run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AJKADZ/PHI_CODER with Docker Model Runner:
docker model run hf.co/AJKADZ/PHI_CODER:Q4_K_M
- Lemonade
How to use AJKADZ/PHI_CODER with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AJKADZ/PHI_CODER:Q4_K_M
Run and chat with the model
lemonade run user.PHI_CODER-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 4,626 Bytes
9b19fd8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | #!/usr/bin/env bash
set -euo pipefail
#
# check-requirements.sh checks all requirements files for each top-level
# convert*.py script.
#
# WARNING: This is quite IO intensive, because a fresh venv is set up for every
# python script. As of 2023-12-22, this writes ~2.7GB of data. An adequately
# sized tmpfs /tmp or ramdisk is recommended if running this frequently.
#
# usage: check-requirements.sh [<working_dir>]
# check-requirements.sh nocleanup [<working_dir>]
#
# where:
# - <working_dir> is a directory that can be used as the base for
# setting up the venvs. Defaults to `/tmp`.
# - 'nocleanup' as the first argument will disable automatic cleanup
# of the files created by this script.
#
# requires:
# - bash >= 3.2.57
# - shellcheck
#
# For each script, it creates a fresh venv, `pip install`s the requirements, and
# finally imports the python script to check for `ImportError`.
#
log() {
local level=$1 msg=$2
printf >&2 '%s: %s\n' "$level" "$msg"
}
debug() {
log DEBUG "$@"
}
info() {
log INFO "$@"
}
fatal() {
log FATAL "$@"
exit 1
}
cleanup() {
if [[ -n ${workdir+x} && -d $workdir && -w $workdir ]]; then
info "Removing $workdir"
local count=0
rm -rfv -- "$workdir" | while read -r; do
if (( count++ > 750 )); then
printf .
count=0
fi
done
printf '\n'
info "Removed $workdir"
fi
}
do_cleanup=1
if [[ ${1-} == nocleanup ]]; then
do_cleanup=0; shift
fi
if (( do_cleanup )); then
trap exit INT TERM
trap cleanup EXIT
fi
this=$(realpath -- "$0"); readonly this
cd "$(dirname "$this")/.." # PWD should stay in llama.cpp project directory
shellcheck "$this"
readonly reqs_dir=requirements
if [[ ${1+x} ]]; then
tmp_dir=$(realpath -- "$1")
if [[ ! ( -d $tmp_dir && -w $tmp_dir ) ]]; then
fatal "$tmp_dir is not a writable directory"
fi
else
tmp_dir=/tmp
fi
workdir=$(mktemp -d "$tmp_dir/check-requirements.XXXX"); readonly workdir
info "Working directory: $workdir"
check_requirements() {
local reqs=$1
info "$reqs: beginning check"
pip --disable-pip-version-check install -qr "$reqs"
info "$reqs: OK"
}
check_convert_script() {
local py=$1 # e.g. ./convert_hf_to_gguf.py
local pyname=${py##*/} # e.g. convert_hf_to_gguf.py
pyname=${pyname%.py} # e.g. convert_hf_to_gguf
info "$py: beginning check"
local reqs="$reqs_dir/requirements-$pyname.txt"
if [[ ! -r $reqs ]]; then
fatal "$py missing requirements. Expected: $reqs"
fi
# Check that all sub-requirements are added to top-level requirements.txt
if ! grep -qF "$reqs" requirements.txt; then
fatal "$reqs needs to be added to requirements.txt"
fi
local venv="$workdir/$pyname-venv"
python3 -m venv "$venv"
(
# shellcheck source=/dev/null
source "$venv/bin/activate"
check_requirements "$reqs"
python - "$py" "$pyname" <<'EOF'
import sys
from importlib.machinery import SourceFileLoader
py, pyname = sys.argv[1:]
SourceFileLoader(pyname, py).load_module()
EOF
)
if (( do_cleanup )); then
rm -rf -- "$venv"
fi
info "$py: imports OK"
}
readonly ignore_eq_eq='check_requirements: ignore "=="'
for req in */**/requirements*.txt; do
# Make sure exact release versions aren't being pinned in the requirements
# Filters out the ignore string
if grep -vF "$ignore_eq_eq" "$req" | grep -q '=='; then
tab=$'\t'
cat >&2 <<EOF
FATAL: Avoid pinning exact package versions. Use '~=' instead.
You can suppress this error by appending the following to the line:
$tab# $ignore_eq_eq
EOF
exit 1
fi
done
all_venv="$workdir/all-venv"
python3 -m venv "$all_venv"
(
# shellcheck source=/dev/null
source "$all_venv/bin/activate"
check_requirements requirements.txt
)
if (( do_cleanup )); then
rm -rf -- "$all_venv"
fi
check_convert_script examples/convert_legacy_llama.py
for py in convert_*.py; do
# skip convert_hf_to_gguf_update.py
# TODO: the check is failing for some reason:
# https://github.com/ggml-org/llama.cpp/actions/runs/8875330981/job/24364557177?pr=6920
[[ $py == convert_hf_to_gguf_update.py ]] && continue
check_convert_script "$py"
done
info 'Done! No issues found.'
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