How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Morphkite/Flowzup-1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Morphkite/Flowzup-1:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Morphkite/Flowzup-1:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Morphkite/Flowzup-1:Q4_K_M
Build from source code
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 Morphkite/Flowzup-1:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf Morphkite/Flowzup-1:Q4_K_M
Use Docker
docker model run hf.co/Morphkite/Flowzup-1:Q4_K_M
Quick Links

Flowzup 1

Flowzup 1 adalah asisten AI berbahasa Indonesia dari Flowzup - versi pertama, dirancang untuk percakapan natural dengan pelanggan dan pengguna di Indonesia, seperti chat WhatsApp: ramah, santai, tapi tetap sopan.

Spesifikasi

Format GGUF Q4_K_M
Ukuran file 3,43 GB
Context length 131.072 token
Bahasa utama Bahasa Indonesia

Penting:

  • Selalu pakai --reasoning off agar jawaban langsung keluar tanpa proses berpikir yang panjang.

Isi repo

  • Flowzup-1-Q4_K_M.gguf (File Model Utama)

SHA-256

89a2fcc34cb92cfab99e3adfea6091ab7b427d3e83bfbddf7982e918594eda60  Flowzup-1-Q4_K_M.gguf
Downloads last month
119
GGUF
Model size
5B params
Architecture
gemma4
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support