Instructions to use Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Lewdiculous/LemonadeRP-4.5.3-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/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/LemonadeRP-4.5.3-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/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
Use Docker
docker model run hf.co/Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix with Ollama:
ollama run hf.co/Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix with Docker Model Runner:
docker model run hf.co/Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
- Lemonade
How to use Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Lewdiculous/LemonadeRP-4.5.3-GGUF-IQ-Imatrix:Q4_K_M
Run and chat with the model
lemonade run user.LemonadeRP-4.5.3-GGUF-IQ-Imatrix-Q4_K_M
List all available models
lemonade list
- Atomic Chat
This repository hosts GGUF-IQ-Imatrix quantizations for KatyTheCutie/LemonadeRP-4.5.3.
--contextsize 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]
For imatrix data generation, kalomaze's groups_merged.txt with added roleplay chats was used, you can find it here.
Steps:
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ 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.
Original model information:
8192 context length.
7B roleplay focused model, creativity and less cliché is the focus of this merge.
SillyTavern settings:

- NeverSleep/Noromaid-7B-0.4-DPO
- cgato/Thespis-7b-v0.5-SFTTest-2Epoch
- NurtureAI/neural-chat-7b-v3-1-16k
- cgato/Thespis-CurtainCall-7b-v0.2.2
- tavtav/eros-7b-test
Feedback is always greatly appreciated! <3
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