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

Libraries

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

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix",
	filename="InfinityRP-v2-8B-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/InfinityRP-v2-8B-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/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/InfinityRP-v2-8B-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-server -hf Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Lewdiculous/InfinityRP-v2-8B-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/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Lewdiculous/InfinityRP-v2-8B-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/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M

Use Docker

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

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

Unsloth Studio

How to use Lewdiculous/InfinityRP-v2-8B-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/InfinityRP-v2-8B-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/InfinityRP-v2-8B-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/InfinityRP-v2-8B-GGUF-IQ-Imatrix to start chatting

Docker Model Runner
How to use Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix with Docker Model Runner:
```
docker model run hf.co/Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix:Q4_K_M
```

Lemonade

How to use Lewdiculous/InfinityRP-v2-8B-GGUF-IQ-Imatrix with Lemonade:

Pull the model

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

Run and chat with the model

lemonade run user.InfinityRP-v2-8B-GGUF-IQ-Imatrix-Q4_K_M

List all available models

lemonade list

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 that endeavor and others here (Ko-fi). I apologize for disrupting your experience.

#llama-3 #roleplay

GGUF-IQ-Imatrix quants for Endevor/InfinityRP-v2-8B.
Back at it!

Lewdiculous: "Personally I still prefer the first version based on Mistral, this one hates asterisks."

These quants have been done after the fixes from llama.cpp/pull/6920.
Use KoboldCpp version 1.64 or higher.

Prompt formatting...
Alpaca prompt format recommended.
A safe starting SillyTavern preset can be found here (simple).

Original model information by the author:

The idea is the same as InfinityRP v1, but this one is Llama 3 with 16k ctx! Have fun...

Prompt format: Alpaca.

"You are now in roleplay chat mode. Engage in an endless chat, always with a creative response. Follow lengths very precisely and create paragraphs accurately. Always wait your turn, next actions and responses. Your internal thoughts are wrapped with ` marks."

User Message Prefix = ### Input:

Assistant Message Prefix = ### Response:

System Message Prefix = ### Instruction:

Turn on "Include Names" (optional)

Text Length: (use on your System Prompt or ### Response:)

Response: (length = medium) <- [tiny, micro, short, medium, long, enormous, huge, massive, humongous]

Example:

Downloads last month: 187

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/InfinityRP-v2-8B-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 • 72