How to use Unimikes/USER2-1C-code-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Unimikes/USER2-1C-code-GGUF") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use Unimikes/USER2-1C-code-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 Unimikes/USER2-1C-code-GGUF:F16 # Run inference directly in the terminal: llama cli -hf Unimikes/USER2-1C-code-GGUF:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Unimikes/USER2-1C-code-GGUF:F16 # Run inference directly in the terminal: llama cli -hf Unimikes/USER2-1C-code-GGUF:F16
# 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 Unimikes/USER2-1C-code-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf Unimikes/USER2-1C-code-GGUF:F16
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 Unimikes/USER2-1C-code-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Unimikes/USER2-1C-code-GGUF:F16
docker model run hf.co/Unimikes/USER2-1C-code-GGUF:F16
How to use Unimikes/USER2-1C-code-GGUF with Ollama:
ollama run hf.co/Unimikes/USER2-1C-code-GGUF:F16
How to use Unimikes/USER2-1C-code-GGUF with Docker Model Runner:
How to use Unimikes/USER2-1C-code-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Unimikes/USER2-1C-code-GGUF:F16
lemonade run user.USER2-1C-code-GGUF-F16
lemonade list
