Instructions to use idle-intelligence/personaplex-24L-q4_k-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- 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) - llama-cpp-python
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="idle-intelligence/personaplex-24L-q4_k-webgpu", filename="personaplex-24L-q4_k.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with llama.cpp:
Install from brew
brew install llama.cpp # 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
Install from WinGet (Windows)
winget install llama.cpp # 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
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 Studio new
How to use idle-intelligence/personaplex-24L-q4_k-webgpu with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for idle-intelligence/personaplex-24L-q4_k-webgpu to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for idle-intelligence/personaplex-24L-q4_k-webgpu to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for idle-intelligence/personaplex-24L-q4_k-webgpu to start chatting
- 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
code example
3
#1 opened 28 days ago
by
Shadow0482