Instructions to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix 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 Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

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 Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

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 Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

Use Docker

docker model run hf.co/Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

LM Studio
Jan
Ollama
How to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix with Ollama:
```
ollama run hf.co/Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
```

Unsloth Studio

How to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix 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 Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix 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 Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix to start chatting

Atomic Chat new
Docker Model Runner
How to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix with Docker Model Runner:
```
docker model run hf.co/Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M
```

Lemonade

How to use Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix:Q4_K_M

Run and chat with the model

lemonade run user.Chaos_RP_l3_8B-GGUF-IQ-Imatrix-Q4_K_M

List all available models

lemonade list

Support:
My upload speeds have been cooked and unstable lately.
Realistically I'd need to move to get a better provider.
If you want and you are able to...
You can support my various endeavors here (Ko-fi).
I apologize for disrupting your experience.

This is a Llama-3 land now, cowboys!

"A chaotic force beckons for you, will you heed her call?"

GGUF-IQ-Imatrix quants for jeiku/Chaos_RP_l3_8B.

Updated! These quants have been redone with the fixes from llama.cpp/pull/6920 in mind.
Use KoboldCpp version 1.64 or higher.

Quant:
For 8GB VRAM GPUs, I recommend the Q4_K_M-imat quant for up to 12288 context sizes.

Recommended presets here or here.
Use the latest version of KoboldCpp. Use the provided presets.
This is all still highly experimental, modified configs were used to avoid the tokenizer issues, let the authors know how it performs for you, feedback is more important than ever now.

Original model information:

Chaos RP

A chaotic force beckons for you, will you heed her call?

Built upon an intelligent foundation and tuned for roleplaying, this model will fulfill your wildest fantasies with the bare minimum of effort.

Enjoy!

Downloads last month: 286

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including Lewdiculous/Chaos_RP_l3_8B-GGUF-IQ-Imatrix

Quantized Models (GGUF, IQ, Imatrix)

Collection

Various GGUF quantizations of small models. Models with a "checkmark" are personal favorites. An "orange arrow" means it's being uploaded. • 97 items • Updated Mar 2 • 71