Instructions to use Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Lewdiculous/InfinityRP-v1-7B-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/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/InfinityRP-v1-7B-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/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/InfinityRP-v1-7B-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-v1-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Lewdiculous/InfinityRP-v1-7B-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-v1-7B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M
Use Docker
docker model run hf.co/Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix with Ollama:
ollama run hf.co/Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix with Docker Model Runner:
docker model run hf.co/Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M
- Lemonade
How to use Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Lewdiculous/InfinityRP-v1-7B-GGUF-IQ-Imatrix:Q4_K_M
Run and chat with the model
lemonade run user.InfinityRP-v1-7B-GGUF-IQ-Imatrix-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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 repository hosts GGUF-Imatrix quantizations for Endevor/InfinityRP-v1-7B.
The supported --contextsize is 8192.
What does "Imatrix" mean?
It stands for Importance Matrix, a technique used to improve the quality of quantized models. The Imatrix is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process. The idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse. [1] [2]
Steps:
Baseโข GGUF(F16)โข Imatrix-Data(F16)โข GGUF(Imatrix-Quants)
Quants:
quantization_options = [
"Q4_K_M", "IQ4_XS", "Q5_K_M", "Q5_K_S", "Q6_K",
"Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
]
If you want anything that's not here or another model, feel free to request.
This is experimental.
For imatrix data generation, kalomaze's groups_merged.txt with added roleplay chats was used, you can find it here.
Original model information:
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format. This model was basically made to stop some upsetting hallucinations, so {{char}} mostly and occasionally will wait {{user}} response instead of responding itself or deciding for {{user}}, also, my primary idea was to create a cozy model that thinks.*
Inspired by lemonilia/Limamono-Mistral-7B-v0.50
Style details:
- Quotes are used for character dialogs.
"Hey, Anon... What do you think about my style?"
- Asterisks can be used for narration, but it's optional, it's recommended to use default novel format.
*Her cheeks blush slightly, she tries to hide.*
- Character thoughts are wrapped with ` marks. This may often spontaneously occur.
My heart skips a beat hearing him call me pretty!
If you want thoughts to appear more often, just add something like this to your system prompt: "{{char}} internal thoughts are wrapped with ` marks."
- Accepted response lengths: tiny, short, medium, long, huge
- For example: ### Response: (length = medium)
Note: Apparently humongous, extreme and unlimited may not work at moment. Not fully tested.
Prompt format:
Extended Alpaca, as always.
"You are now in roleplay chat mode. Engage in an endless chat with {{user}}. Always wait {{user}} turn, next actions and responses."
Example:
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