lemon07r/bartowski-imatrix-v5-semantic
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How to use RemySkye/rwkv7-g1i-1.5B-i1-GGUF with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use RemySkye/rwkv7-g1i-1.5B-i1-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 RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
# 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 RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
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 RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
docker model run hf.co/RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
How to use RemySkye/rwkv7-g1i-1.5B-i1-GGUF with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RemySkye/rwkv7-g1i-1.5B-i1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "RemySkye/rwkv7-g1i-1.5B-i1-GGUF",
"messages": [
{
"role": "user",
"content": "What is the capital of France?"
}
]
}'docker model run hf.co/RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
How to use RemySkye/rwkv7-g1i-1.5B-i1-GGUF with Ollama:
ollama run hf.co/RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
How to use RemySkye/rwkv7-g1i-1.5B-i1-GGUF with Docker Model Runner:
docker model run hf.co/RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
How to use RemySkye/rwkv7-g1i-1.5B-i1-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RemySkye/rwkv7-g1i-1.5B-i1-GGUF:Q4_K_M
lemonade run user.rwkv7-g1i-1.5B-i1-GGUF-Q4_K_M
lemonade list
GGUF quantizations for the main source model BlinkDL/rwkv7-g1.
rwkv7-g1i-1.5b-20260805-ctx16384.pthlemon07r/bartowski-imatrix-v5-semantic512 tokensc92e806d1c81091c9035edce99c35374da1b465eebfb744281c31a07aad5606ec7473f79f837e92aThe BF16 master and imatrix are uploaded before the quantized files. Large GGUFs, if any, are stored as llama.cpp split shards in their own repository subfolder; imatrix shards are stored under imatrix/.
Base model
BlinkDL/rwkv7-g1