Any-to-Any
GGUF
English
fastai, adapter-transformers, nlp, mlx, lmlm, allenlp, lmkm, llama, gpt
conversational
Instructions to use Seriki/Lmlm 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 Seriki/Lmlm 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 Seriki/Lmlm:MXFP4 # Run inference directly in the terminal: llama cli -hf Seriki/Lmlm:MXFP4
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Seriki/Lmlm:MXFP4 # Run inference directly in the terminal: llama cli -hf Seriki/Lmlm:MXFP4
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 Seriki/Lmlm:MXFP4 # Run inference directly in the terminal: ./llama-cli -hf Seriki/Lmlm:MXFP4
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 Seriki/Lmlm:MXFP4 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Seriki/Lmlm:MXFP4
Use Docker
docker model run hf.co/Seriki/Lmlm:MXFP4
- LM Studio
- Jan
- Ollama
How to use Seriki/Lmlm with Ollama:
ollama run hf.co/Seriki/Lmlm:MXFP4
- Unsloth Desktop
- Pi
How to use Seriki/Lmlm with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Seriki/Lmlm:MXFP4
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Seriki/Lmlm:MXFP4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Seriki/Lmlm with Docker Model Runner:
docker model run hf.co/Seriki/Lmlm:MXFP4
- Lemonade
How to use Seriki/Lmlm with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Seriki/Lmlm:MXFP4
Run and chat with the model
lemonade run user.Lmlm-MXFP4
List all available models
lemonade list
- Hermes Agent
How to use Seriki/Lmlm with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Seriki/Lmlm:MXFP4
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Seriki/Lmlm:MXFP4
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Seriki/Lmlm with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Seriki/Lmlm:MXFP4
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "Seriki/Lmlm:MXFP4" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
File size: 17,581 Bytes
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# Hugging Face CLI Installer for Linux/MacOS
# Usage: curl -LsSf https://hf.co/cli/install.sh | bash -s
# Usage: curl -LsSf https://hf.co/cli/install.sh | bash -s --with-transformers
# Usage: curl -LsSf https://hf.co/cli/install.sh | bash -s -- [OPTIONS]
if [ -z "$BASH_VERSION" ]; then
if command -v bash >/dev/null 2>&1; then
if [ -f "$0" ] && [ "$0" != "sh" ] && [ "$0" != "bash" ]; then
exec bash "$0" "$@"
else
tmp_dir=$(mktemp -d 2>/dev/null || mktemp -d -t hf-cli-install)
tmp_script="$tmp_dir/install.sh"
cat >"$tmp_script"
chmod +x "$tmp_script"
bash "$tmp_script" "$@"
exit_code=$?
rm -rf "$tmp_dir"
exit $exit_code
fi
else
echo "[ERROR] bash is required to run this installer." >&2
echo "[ERROR] Please run: curl -LsSf https://hf.co/cli/install.sh | bash" >&2
exit 1
fi
fi
set -e
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Logging level: 0=quiet, 1=info (default), 2=verbose
LOG_LEVEL=1
# Configuration
FORCE_REINSTALL="false"
BIN_DIR="${HF_CLI_BIN_DIR:-$HOME/.local/bin}"
UPDATED_RC_FILE=""
SKIP_PATH_UPDATE="false"
UPDATED_FISH_PATH="false"
WITH_TRANSFORMERS="false"
EXCLUDE_SKILL="false"
# Logging functions
log_debug() {
if [ "$LOG_LEVEL" -lt 2 ]; then
return 0
fi
printf '%b\n' "${BLUE}[DEBUG]${NC} $1"
}
log_info() {
if [ "$LOG_LEVEL" -lt 1 ]; then
return 0
fi
printf '%b\n' "${BLUE}[INFO]${NC} $1"
}
log_success() {
printf '%b\n' "${GREEN}[SUCCESS]${NC} $1"
}
log_warning() {
printf '%b\n' "${YELLOW}[WARNING]${NC} $1"
}
log_error() {
printf '%b\n' "${RED}[ERROR]${NC} $1" >&2
}
run_command() {
local description="$1"
shift
set +e
"$@"
local status=$?
set -e
if [ $status -ne 0 ]; then
log_error "$description"
log_error "Command: $*"
log_error "Re-run with --verbose for detailed output."
exit $status
fi
}
usage() {
cat <<'EOF'
Usage: curl -LsSf https://hf.co/cli/install.sh | bash -s -- [OPTIONS]
Options:
--force Recreate the Hugging Face CLI virtual environment if it exists
--no-modify-path Skip adding the hf wrapper directory to PATH
--with-transformers Also install the transformers CLI
--exclude-skill Skip installing the `hf-cli` skill for AI agents
-v, --verbose Enable verbose output (includes full pip logs)
--help, -h Show this message and exit
Environment variables:
HF_HOME Installation base directory; installer uses $HF_HOME/cli when set
HF_CLI_BIN_DIR Directory for the hf wrapper (default: ~/.local/bin)
EOF
}
# Normalize user paths to absolute paths
expand_path() {
local input="$1"
if [ -z "$input" ]; then
return 0
fi
case "$input" in
~)
printf '%s\n' "$HOME"
;;
~/*)
printf '%s/%s\n' "$HOME" "${input#~/}"
;;
/*)
printf '%s\n' "$input"
;;
*)
printf '%s/%s\n' "$PWD" "$input"
;;
esac
}
while [ $# -gt 0 ]; do
case "$1" in
--force)
FORCE_REINSTALL="true"
;;
--no-modify-path)
SKIP_PATH_UPDATE="true"
;;
--with-transformers)
WITH_TRANSFORMERS="true"
;;
--exclude-skill)
EXCLUDE_SKILL="true"
;;
-v|--verbose)
LOG_LEVEL=2
HF_CLI_VERBOSE_PIP=1
;;
--help|-h)
usage
exit 0
;;
*)
log_error "Unknown option: $1"
usage
exit 1
;;
esac
shift
done
# Persist fully resolved paths for downstream use and wrapper creation
BIN_DIR=$(expand_path "$BIN_DIR")
if [ -n "$HF_HOME" ]; then
HF_CLI_DIR="$HF_HOME/cli"
else
HF_CLI_DIR="$HOME/.hf-cli"
fi
HF_CLI_DIR=$(expand_path "$HF_CLI_DIR")
VENV_DIR="$HF_CLI_DIR/venv"
# Check if command exists
command_exists() {
command -v "$1" >/dev/null 2>&1
}
# Detect OS
detect_os() {
if [[ "$OSTYPE" == "linux-gnu"* ]]; then
echo "linux"
elif [[ "$OSTYPE" == "darwin"* ]]; then
echo "macos"
else
echo "unknown"
fi
}
# Install Python if not available
python_version_supported() {
"$1" <<'PY' >/dev/null 2>&1
import sys
sys.exit(0 if sys.version_info >= (3, 10) else 1)
PY
}
ensure_python() {
local candidates=(python3 python)
local chosen=""
local version_output=""
for candidate in "${candidates[@]}"; do
if command_exists "$candidate"; then
version_output="$($candidate --version 2>&1)"
if python_version_supported "$candidate"; then
PYTHON_CMD="$candidate"
chosen="$candidate"
break
else
log_warning "$candidate detected ($version_output) but Python 3.10+ is required."
fi
fi
done
if [ -z "$chosen" ]; then
log_error "Python 3.10+ is required but was not found."
case "$(detect_os)" in
macos)
log_info "On macOS: brew install python (or download Python 3.10+ from python.org)"
;;
linux)
if command_exists apt-get || command_exists apt; then
log_info "On Debian/Ubuntu: sudo apt update && sudo apt install python3 python3-pip"
elif command_exists dnf; then
log_info "On Fedora/RHEL: sudo dnf install python3 python3-pip"
elif command_exists yum; then
log_info "On CentOS/RHEL: sudo yum install python3 python3-pip"
else
log_info "Install Python 3.10+ with your distro's package manager."
fi
;;
*)
log_info "Install Python 3.10+ from https://www.python.org/downloads/"
;;
esac
exit 1
fi
log_info "Using Python: $($PYTHON_CMD --version)"
}
# Create directories
create_directories() {
log_info "Creating directories..."
run_command "Failed to create install directory $HF_CLI_DIR" mkdir -p "$HF_CLI_DIR"
run_command "Failed to create bin directory $BIN_DIR" mkdir -p "$BIN_DIR"
}
# Create virtual environment
create_venv() {
log_info "Creating virtual environment..."
if [ -d "$VENV_DIR" ]; then
if [ "$FORCE_REINSTALL" = "true" ]; then
log_warning "Virtual environment already exists; removing it since --force was passed"
rm -rf "$VENV_DIR"
else
log_info "Virtual environment already exists; reusing (pass --force to recreate)"
return
fi
fi
# Fail early with guidance when python lacks the venv module
if ! "$PYTHON_CMD" -m venv --help >/dev/null 2>&1; then
log_error "Python's venv module is unavailable. Install python3-venv / ensurepip and retry."
case "$(detect_os)" in
linux)
log_info "Try: sudo apt install python3-venv # Debian/Ubuntu"
log_info " sudo dnf install python3-venv # Fedora"
;;
macos)
log_info "Try reinstalling Python via Homebrew: brew install python"
;;
esac
exit 1
fi
run_command "Failed to create virtual environment at $VENV_DIR" "$PYTHON_CMD" -m venv "$VENV_DIR"
# Mark this installation as installer-managed
touch "$VENV_DIR/.hf_installer_marker"
# Use the venv python for pip management
log_info "Upgrading pip..."
run_command "Failed to upgrade pip" "$VENV_DIR/bin/python" -m pip install --upgrade pip
}
# Install a Python package in the venv
install_package() {
local package_spec="$1"
local extra_pip_args="${HF_CLI_PIP_ARGS:-${HF_PIP_ARGS:-}}"
local verbose="${HF_CLI_VERBOSE_PIP:-}"
if [ -n "$extra_pip_args" ]; then
log_info "Passing extra arguments: $extra_pip_args"
fi
if [ "$verbose" != "1" ]; then
log_info "Installation output suppressed; set HF_CLI_VERBOSE_PIP=1 for full logs"
fi
# Check if uv is available and use it for faster installation
if command_exists uv; then
log_info "Using uv for faster installation"
local -a uv_flags
if [ "$verbose" != "1" ]; then
uv_flags=(--quiet)
else
uv_flags=()
fi
# shellcheck disable=SC2086
run_command "Failed to install $package_spec" uv pip install --python "$VENV_DIR/bin/python" --upgrade ${uv_flags[*]} "$package_spec" $extra_pip_args
else
local -a pip_flags
if [ "$verbose" != "1" ]; then
pip_flags=(--quiet --progress-bar off --disable-pip-version-check)
else
pip_flags=()
fi
# shellcheck disable=SC2086
run_command "Failed to install $package_spec" "$VENV_DIR/bin/python" -m pip install --upgrade "$package_spec" ${pip_flags[*]} $extra_pip_args
fi
}
# Install huggingface_hub with CLI extras
install_hf_hub() {
log_info "Installing/upgrading Hugging Face CLI (latest)..."
install_package "huggingface_hub"
}
# Check if transformers is installed in the venv (using importlib.metadata for speed)
transformers_installed() {
"$VENV_DIR/bin/python" -c "import importlib.metadata; importlib.metadata.version('transformers')" >/dev/null 2>&1
}
# Install transformers CLI
install_transformers() {
# Install if --with-transformers was passed OR if transformers is already in the venv
if [ "$WITH_TRANSFORMERS" != "true" ] && ! transformers_installed; then
return
fi
log_info "Installing/upgrading transformers CLI (latest)..."
install_package "transformers"
}
# Expose the hf CLI by linking or copying the console script from the virtualenv
expose_cli_command() {
log_info "Linking hf CLI into $BIN_DIR..."
local source_cli="$VENV_DIR/bin/hf"
if [ ! -x "$source_cli" ]; then
log_error "hf command not found in the virtual environment at $source_cli"
log_error "Verify that The Hugging Face CLI is installed correctly."
exit 1
fi
local link_method=""
if ln -sf "$source_cli" "$BIN_DIR/hf" 2>/dev/null; then
link_method="symlink"
else
if cp "$source_cli" "$BIN_DIR/hf" 2>/dev/null; then
link_method="copy"
else
log_error "Failed to place hf command in $BIN_DIR (tried symlink and copy)."
exit 1
fi
fi
chmod +x "$BIN_DIR/hf"
if [ "$link_method" = "symlink" ]; then
log_info "hf available at $BIN_DIR/hf (symlink to venv)"
else
log_info "hf available at $BIN_DIR/hf"
fi
log_info "Run without touching PATH: env PATH=\"$BIN_DIR:\$PATH\" hf --help"
}
# Install the `hf-cli` skill globally (opt-out with --exclude-skill)
install_skill() {
if [ "$EXCLUDE_SKILL" = "true" ]; then
log_info "Skipping the hf-cli skill (--exclude-skill)"
return
fi
log_info "Installing the hf-cli skill for AI agents..."
if ! "$BIN_DIR/hf" skills add hf-cli --global --claude --force; then
log_warning "Failed to install the hf-cli skill. Install it later with: hf skills add -g --claude"
return
fi
log_info "The hf-cli skill was installed automatically so AI agents know how to use the hf CLI."
log_info "Pass --exclude-skill to skip it."
}
# Update PATH if needed
update_path() {
local shell_rc=""
local -a shell_rc_candidates=()
# Broaden shell detection and guidance for PATH propagation
case "$SHELL" in
*/bash)
shell_rc_candidates=()
shell_rc_candidates+=("$HOME/.bashrc")
shell_rc_candidates+=("$HOME/.bash_profile")
shell_rc_candidates+=("$HOME/.profile")
;;
*/zsh)
shell_rc_candidates=()
shell_rc_candidates+=("$HOME/.zshrc")
shell_rc_candidates+=("$HOME/.zprofile")
;;
*/fish)
shell_rc_candidates=()
if command -v fish >/dev/null 2>&1; then
if fish -c "contains \"$BIN_DIR\" \$fish_user_paths" >/dev/null 2>&1; then
log_info "$BIN_DIR already present in fish_user_paths"
UPDATED_FISH_PATH="true"
return
elif fish -c "set -Ux fish_user_paths \"$BIN_DIR\" \$fish_user_paths" >/dev/null 2>&1; then
UPDATED_FISH_PATH="true"
log_success "Added $BIN_DIR to fish_user_paths"
log_info "Apply it now with: set -Ux fish_user_paths $BIN_DIR \$fish_user_paths"
return
else
log_warning "Could not update fish_user_paths automatically."
fi
fi
;;
*)
shell_rc_candidates=()
shell_rc_candidates+=("$HOME/.profile")
;;
esac
if [[ ":$PATH:" != *":$BIN_DIR:"* ]]; then
if [ "$SKIP_PATH_UPDATE" = "true" ]; then
log_info "Skipping PATH update (--no-modify-path)."
return
fi
log_info "$BIN_DIR is not in your PATH"
if [ "${#shell_rc_candidates[@]}" -gt 0 ]; then
for candidate in "${shell_rc_candidates[@]}"; do
if [ -f "$candidate" ]; then
shell_rc="$candidate"
break
fi
done
if [ -z "$shell_rc" ]; then
shell_rc="${shell_rc_candidates[0]}"
log_info "Creating shell config file at $shell_rc to update PATH"
touch "$shell_rc"
fi
if ! grep -Fq "$BIN_DIR" "$shell_rc"; then
{
echo ""
echo "# Added by Hugging Face CLI installer"
echo "export PATH=\"$BIN_DIR:\$PATH\""
} >> "$shell_rc"
UPDATED_RC_FILE="$shell_rc"
log_success "Added $BIN_DIR to PATH via $shell_rc"
if [ "$LOG_LEVEL" -ge 1 ]; then
log_info "Apply it now with: source $shell_rc"
fi
fi
else
log_warning "Could not automatically update PATH for your shell."
if [[ "$SHELL" == *"/fish" ]]; then
if [ "$UPDATED_FISH_PATH" != "true" ]; then
log_warning "Run: set -Ux fish_user_paths $BIN_DIR \$fish_user_paths"
fi
else
log_warning "Add this line to your shell config: export PATH=\"$BIN_DIR:\$PATH\""
fi
fi
fi
}
# Verify installation
verify_installation() {
log_info "Verifying installation..."
if [ -x "$BIN_DIR/hf" ]; then
# Test the CLI
if "$BIN_DIR/hf" version >/dev/null 2>&1; then
log_success "Hugging Face CLI installed successfully!"
log_info "CLI location: $BIN_DIR/hf"
log_info "Installation directory: $HF_CLI_DIR"
else
log_error "Installation verification failed. The hf command is not working properly."
exit 1
fi
else
log_error "Installation failed. Wrapper script not found."
exit 1
fi
}
# Uninstall function
show_uninstall_info() {
log_info ""
log_info "To uninstall the Hugging Face CLI, run:"
log_info " rm -rf $HF_CLI_DIR"
log_info " rm -f $BIN_DIR/hf"
log_info ""
if [ -n "$UPDATED_RC_FILE" ]; then
log_info " (shell) Undo PATH entry: sed -i.bak '/Added by Hugging Face CLI installer/d' $UPDATED_RC_FILE && rm -f ${UPDATED_RC_FILE}.bak"
elif [ "$UPDATED_FISH_PATH" = "true" ]; then
log_info " (fish) Undo PATH entry: fish -c 'set -Ux fish_user_paths (string match -v \"$BIN_DIR\" \$fish_user_paths)'"
elif [ "$SKIP_PATH_UPDATE" = "true" ]; then
log_info " (PATH unchanged because --no-modify-path was used)"
else
log_info " Remove any PATH edits you made manually."
fi
}
# Main installation process
main() {
log_info "Installing Hugging Face CLI..."
log_info "OS: $(detect_os)"
log_info "Force reinstall: $FORCE_REINSTALL"
log_info "Install dir: $HF_CLI_DIR"
log_info "Bin dir: $BIN_DIR"
log_info "Skip PATH update: $SKIP_PATH_UPDATE"
log_info "Exclude skill: $EXCLUDE_SKILL"
ensure_python
create_directories
create_venv
install_hf_hub
install_transformers
expose_cli_command
install_skill
update_path
verify_installation
if [[ ":$PATH:" == *":$BIN_DIR:"* ]]; then
log_info "Current version: $(hf version 2>/dev/null || echo 'Run source ~/.bashrc or restart your shell first')"
else
log_info "Current version: $($BIN_DIR/hf version)"
fi
show_uninstall_info
log_success "hf CLI ready!"
log_info "Binary: $BIN_DIR/hf"
log_info "Virtualenv: $HF_CLI_DIR"
log_info "Try it now: env PATH=\"$BIN_DIR:\$PATH\" hf --help"
log_info "Examples:"
log_info " hf auth login"
log_info " hf download deepseek-ai/DeepSeek-R1"
log_info " hf jobs run python:3.12 python -c 'print(\"Hello from HF CLI!\")'"
log_info ""
}
# Handle Ctrl+C
trap 'log_error "Installation interrupted"; exit 130' INT
main "$@" |