Instructions to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix",
	filename="Llama-3-Soliloquy-8B-v2-F16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-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-server -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-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/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-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/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M

Use Docker

docker model run hf.co/Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M

LM Studio
Jan
Ollama
How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with Ollama:
```
ollama run hf.co/Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
```

Unsloth Studio

How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-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/Llama-3-Soliloquy-8B-v2-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/Llama-3-Soliloquy-8B-v2-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/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix to start chatting

Atomic Chat new
Docker Model Runner
How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with Docker Model Runner:
```
docker model run hf.co/Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M
```

Lemonade

How to use Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lewdiculous/Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3-Soliloquy-8B-v2-GGUF-IQ-Imatrix-Q4_K_M

List all available models

lemonade list

Originally these were my personal GGUF-IQ-Imatrix quants of openlynn/Llama-3-Soliloquy-8B-v2.
Read the original model page for details.

Author:
"Soliloquy-L3 is a highly capable roleplaying model designed for immersive, dynamic experiences. Trained on over 250 million tokens of roleplaying data, Soliloquy-L3 has a vast knowledge base, rich literary expression, and support for up to 24k context length. It outperforms existing ~13B models, delivering enhanced roleplaying capabilities."

Note:
Took me a bit to get into it as I've been busy with life things but this model has performed amazingly well so far. Even the formatting is more stable than others when it comes to asterisks. Not perfect, but close.

SillyTavern:
Use the Llama-3 presets (simple) or Virt's amazing roleplay presets here (recommended) with the Simple samplers. If you have questions, please do ask.

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.

Downloads last month: 237

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

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Collection including Lewdiculous/Llama-3-Soliloquy-8B-v2-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