Instructions to use Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Lewdiculous/RoleBeagle-11B-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/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/RoleBeagle-11B-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/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: llama cli -hf Lewdiculous/RoleBeagle-11B-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/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Lewdiculous/RoleBeagle-11B-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/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M
Use Docker
docker model run hf.co/Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix with Ollama:
ollama run hf.co/Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix with Docker Model Runner:
docker model run hf.co/Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M
- Lemonade
How to use Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix:Q4_K_M
Run and chat with the model
lemonade run user.RoleBeagle-11B-GGUF-IQ-Imatrix-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Run and chat with the model
lemonade run user.RoleBeagle-11B-GGUF-IQ-Imatrix-List all available models
lemonade listThis repository hosts GGUF-IQ-Imatrix quants for vicgalle/RoleBeagle-11B.
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. This was just to add a bit more diversity to the data.
Steps:
Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
Using the latest llama.cpp at the time.
quantization_options = [
"Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
"Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
]
Original model information:
RoleBeagle-11B
A DPO-finetune from vicgalle/CarbonBeagle-11B-truthy over a subset of OpenHermesPreferences containting RP conversations. It keeps most of the intelligence from CarbonBeagle-11B, and hopefuly can role-play better.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.06 |
| AI2 Reasoning Challenge (25-Shot) | 72.35 |
| HellaSwag (10-Shot) | 89.77 |
| MMLU (5-Shot) | 66.35 |
| TruthfulQA (0-shot) | 77.92 |
| Winogrande (5-shot) | 84.06 |
| GSM8k (5-shot) | 65.88 |
- Downloads last month
- 595
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit

Pull the model
# Download Lemonade from https://lemonade-server.ai/lemonade pull Lewdiculous/RoleBeagle-11B-GGUF-IQ-Imatrix: