How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf EvaHap/SmallpoV1H_Beta1:F16# Run inference directly in the terminal:
llama cli -hf EvaHap/SmallpoV1H_Beta1:F16Use 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 EvaHap/SmallpoV1H_Beta1:F16# Run inference directly in the terminal:
./llama-cli -hf EvaHap/SmallpoV1H_Beta1:F16Build 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 EvaHap/SmallpoV1H_Beta1:F16# Run inference directly in the terminal:
./build/bin/llama-cli -hf EvaHap/SmallpoV1H_Beta1:F16Use Docker
docker model run hf.co/EvaHap/SmallpoV1H_Beta1:F16Quick Links
Smallpo V1H(Beta1)
Smallpoๅข้็ ๅ็ๆๆฐๆจกๅ๏ผๆ่ด็ๆง่ฝๅๆไบบๅใ
ๆไปฌๅๅ้ซๅ ด็ๅ่ฏๅไฝ๏ผๆไปฌ็Smallpo็ฌฌไธไปฃ็ๆฌๅทฒ็ปๅๅธไบใ SmallpoV1Hๆฏๆไปฌๆๆฐใๆๅผบ็ๆจกๅ๏ผๅฐฝ็ฎกๅฎ่ฟๅคไบๅๅๆฉๆ็ๅฎ้ช้ถๆฎต๏ผไฝๆฏBeta1็ๅผบๅคงๆไบบๆงๅทฒ็ปๅฑ็ฐๅบๆฅใ ๆไปฌ็ธไฟก๏ผSmallpoๆชๆฅๅฏไปฅๅๅพๆดๅฅฝ๏ผ
ๆๆฏ็ป่
ๆญคๆจกๅๆฒกๆไปไนๆๆฏๅซ้๏ผๆไปฌไฝฟ็จUnsloth่ฟ่ก่ฎญ็ปใ ็ธๅ ณๆฐๆฎ้ๆฅๆบไบ็ฝ็ปใ
็ฐๅจไปๅญๅจ็้ฎ้ข
- ๆญคๆจกๅๅๆฐ้ๅคชๅฐ๏ผๆบๅไฝ๏ผๅช่ฝๅจฑไนไฝฟ็จใ
- ๆญคๆจกๅ็ป็จๆทๆฅๅ๏ผๆจกๅไฝฟ็จๆ่ๅ่ฝๅๆๆถไธไผ่พๅบๅ็ญๆญฃๆใ่ฟๆฏๅ ไธบๆจกๅ็ๆฐๆฎ้ไธญๆฒกๆๅ ๅซๆ่็้จๅๆฐๆฎใ
- ๆญคๆจกๅๆ ๆณๅฎๆด่พๅบ่ชๅทฑ็ๅๅญSmallpo๏ผ่ฟๆฏๅ ไธบๅจ่ฎญ็ป่ฟ็จไธญ๏ผๆไปฌๆฒกๆ้็น่ฎญ็ปๅๅญ่ฟไธๆฟๅใ
- ๆญคๆจกๅไฝฟ็จ้คไธญๆๅค็่ฏญ่จ่ฟ่กๅฏน่ฏ๏ผๆๆ่พๅทฎใ่ฟๆฏๅ ไธบๆจกๅ็ๆฐๆฎ้ไธญๅ ๅซ้คไธญๆๅค็ๅ ถไป่ฏญ่จๅ ๆฏๅฐใ
ๆๅ
ๆไปฌ็ธไฟก๏ผSmallpoๆชๆฅๅฏไปฅๅๅพๆดๅฅฝ๏ผ ๆฌๆจกๅไฝฟ็จQwen3.5-0.8B่ฟ่กๅพฎ่ฐ่ฎญ็ปใ ๆฌๆจกๅไฝฟ็จUnsloth่ฟ่ก่ฎญ็ปใ
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf EvaHap/SmallpoV1H_Beta1:F16# Run inference directly in the terminal: llama cli -hf EvaHap/SmallpoV1H_Beta1:F16