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

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

New discussion

Resources

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code example

#1 opened 28 days ago by

Shadow0482