- Libraries
- Moshi
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with Moshi:
# pip install moshi
# Run the interactive web server
python -m moshi.server --hf-repo "idle-intelligence/personaplex-24L-q4_k-webgpu"
# Then open https://localhost:8998 in your browser
# pip install moshi
import torch
from moshi.models import loaders
# Load checkpoint info from HuggingFace
checkpoint = loaders.CheckpointInfo.from_hf_repo("idle-intelligence/personaplex-24L-q4_k-webgpu")
# Load the Mimi audio codec
mimi = checkpoint.get_mimi(device="cuda")
mimi.set_num_codebooks(8)
# Encode audio (24kHz, mono)
wav = torch.randn(1, 1, 24000 * 10) # [batch, channels, samples]
with torch.no_grad():
codes = mimi.encode(wav.cuda())
decoded = mimi.decode(codes) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use idle-intelligence/personaplex-24L-q4_k-webgpu 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 idle-intelligence/personaplex-24L-q4_k-webgpu
# Run inference directly in the terminal:
llama cli -hf idle-intelligence/personaplex-24L-q4_k-webgpu
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf idle-intelligence/personaplex-24L-q4_k-webgpu
# Run inference directly in the terminal:
llama cli -hf idle-intelligence/personaplex-24L-q4_k-webgpu
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 idle-intelligence/personaplex-24L-q4_k-webgpu
# Run inference directly in the terminal:
./llama-cli -hf idle-intelligence/personaplex-24L-q4_k-webgpu
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 idle-intelligence/personaplex-24L-q4_k-webgpu
# Run inference directly in the terminal:
./build/bin/llama-cli -hf idle-intelligence/personaplex-24L-q4_k-webgpu
Use Docker
docker model run hf.co/idle-intelligence/personaplex-24L-q4_k-webgpu
- LM Studio
- Jan
- Ollama
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with Ollama:
ollama run hf.co/idle-intelligence/personaplex-24L-q4_k-webgpu
- Unsloth Desktop
- Docker Model Runner
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with Docker Model Runner:
docker model run hf.co/idle-intelligence/personaplex-24L-q4_k-webgpu
- Lemonade
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull idle-intelligence/personaplex-24L-q4_k-webgpu
Run and chat with the model
lemonade run user.personaplex-24L-q4_k-webgpu-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
