How to use limloop/MN-12B-Runeweaver-RP-RU-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("limloop/MN-12B-Runeweaver-RP-RU-GGUF", device_map="auto")
How to use limloop/MN-12B-Runeweaver-RP-RU-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
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 limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
docker model run hf.co/limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
How to use limloop/MN-12B-Runeweaver-RP-RU-GGUF with Ollama:
ollama run hf.co/limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
How to use limloop/MN-12B-Runeweaver-RP-RU-GGUF with Docker Model Runner:
How to use limloop/MN-12B-Runeweaver-RP-RU-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull limloop/MN-12B-Runeweaver-RP-RU-GGUF:Q4_K_M
lemonade run user.MN-12B-Runeweaver-RP-RU-GGUF-Q4_K_M
lemonade list
Hello, could you please tell me what the maximum context can be set for this model?
@spectrall The model works well with context up to 8192 tokens, but you're welcome to experiment and set it higher.
thank you!
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