How to use Undi95/Miqu-MS-70B-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Undi95/Miqu-MS-70B-GGUF", device_map="auto")
How to use Undi95/Miqu-MS-70B-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 Undi95/Miqu-MS-70B-GGUF:Q4_0 # Run inference directly in the terminal: llama cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Undi95/Miqu-MS-70B-GGUF:Q4_0 # Run inference directly in the terminal: llama cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
# 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 Undi95/Miqu-MS-70B-GGUF:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
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 Undi95/Miqu-MS-70B-GGUF:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
docker model run hf.co/Undi95/Miqu-MS-70B-GGUF:Q4_0
How to use Undi95/Miqu-MS-70B-GGUF with Ollama:
ollama run hf.co/Undi95/Miqu-MS-70B-GGUF:Q4_0
How to use Undi95/Miqu-MS-70B-GGUF with Docker Model Runner:
How to use Undi95/Miqu-MS-70B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Undi95/Miqu-MS-70B-GGUF:Q4_0
lemonade run user.Miqu-MS-70B-GGUF-Q4_0
lemonade list
Rance47