Instructions to use mradermacher/bluemoonrp-13b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/bluemoonrp-13b-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/bluemoonrp-13b-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/bluemoonrp-13b-GGUF 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 mradermacher/bluemoonrp-13b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf mradermacher/bluemoonrp-13b-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/bluemoonrp-13b-GGUF: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 mradermacher/bluemoonrp-13b-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/bluemoonrp-13b-GGUF: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 mradermacher/bluemoonrp-13b-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/bluemoonrp-13b-GGUF with Ollama:
ollama run hf.co/mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/bluemoonrp-13b-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/bluemoonrp-13b-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/bluemoonrp-13b-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.bluemoonrp-13b-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
auto-patch README.md
Browse files
README.md
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static quants of https://huggingface.co/reeducator/bluemoonrp-13b
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<!-- provided-files -->
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weighted/imatrix quants
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_S.gguf) | Q3_K_S | 5.8 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_L.gguf) | Q3_K_L | 7.0 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q5_K_S.gguf) | Q5_K_S | 9.1 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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static quants of https://huggingface.co/reeducator/bluemoonrp-13b
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/bluemoonrp-13b-i1-GGUF
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## Usage
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If you are unsure how to use GGUF files, refer to one of [TheBloke's
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_S.gguf) | Q3_K_S | 5.8 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_M.gguf) | Q3_K_M | 6.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q3_K_L.gguf) | Q3_K_L | 7.0 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.IQ4_XS.gguf) | IQ4_XS | 7.1 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q4_K_S.gguf) | Q4_K_S | 7.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q4_K_M.gguf) | Q4_K_M | 8.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q5_K_S.gguf) | Q5_K_S | 9.1 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q5_K_M.gguf) | Q5_K_M | 9.3 | |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q6_K.gguf) | Q6_K | 10.8 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/bluemoonrp-13b-GGUF/resolve/main/bluemoonrp-13b.Q8_0.gguf) | Q8_0 | 13.9 | fast, best quality |
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