Instructions to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF 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 xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

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 xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

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 xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

Use Docker

docker model run hf.co/xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF with Ollama:
```
ollama run hf.co/xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
```

Unsloth Studio

How to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF 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 xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF 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 xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF to start chatting

Docker Model Runner
How to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF with Docker Model Runner:
```
docker model run hf.co/xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S
```

Lemonade

How to use xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull xxx777xxxASD/ChaoticSoliloquy-4x8B-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.ChaoticSoliloquy-4x8B-GGUF-Q4_K_S

List all available models

lemonade list

Atomic Chat

ChaoticSoliloquy-4x8B-GGUF

File size: 483 Bytes

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---
license: llama3
language:
- en
tags:
- moe
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/jgyhmI451GRXri5hEj3lh.png)
(Maybe i'll change the waifu picture later)

> [!TIP]
> Outdated GGUFs, check [here](https://huggingface.co/mradermacher/Chaotic-Soliloquy-4x8B-GGUF) for quants made with newer version of llamacpp

Some GGUF quants of [xxx777xxxASD/ChaoticSoliloquy-4x8B](https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B)