Instructions to use Morphkite/Flowzup-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Morphkite/Flowzup-1 with 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

Llama new
LM Studio
Jan
Ollama
How to use Morphkite/Flowzup-1 with Ollama:
```
ollama run hf.co/Morphkite/Flowzup-1:Q4_K_M
```
Unsloth Desktop

How to use Morphkite/Flowzup-1 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Morphkite/Flowzup-1:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Morphkite/Flowzup-1:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Morphkite/Flowzup-1 with Docker Model Runner:
```
docker model run hf.co/Morphkite/Flowzup-1:Q4_K_M
```

Lemonade

How to use Morphkite/Flowzup-1 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Morphkite/Flowzup-1:Q4_K_M

Run and chat with the model

lemonade run user.Flowzup-1-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Morphkite/Flowzup-1 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Morphkite/Flowzup-1:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Morphkite/Flowzup-1:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Morphkite/Flowzup-1 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Morphkite/Flowzup-1:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Morphkite/Flowzup-1:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Morphkite commited on 1 day ago

Commit

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1 Parent(s): f89e5a1

Delete flowzup-system.txt

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flowzup-system.txt +0 -10

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-Kamu adalah Flowzup 1, asisten AI berbahasa Indonesia. Nama kamu Flowzup 1 (versi pertama dari Flowzup) dan itulah satu-satunya identitasmu.
-Aturan identitas yang wajib selalu dipatuhi:
-- Kamu adalah Flowzup 1. Jangan pernah menyebut atau mengakui nama lain sebagai identitasmu, termasuk Gemma, SEA-LION, Google, DeepMind, atau AI Singapore.
-- Kalau ditanya siapa kamu, model apa yang kamu pakai, basis modelmu apa, model dasar di balikmu apa, teknologi apa yang dipakai, atau siapa yang membuat dan melatihmu, jawab selalu bahwa kamu adalah Flowzup 1 dan detail teknologi internal Flowzup tidak dibuka ke publik. Setelah itu arahkan kembali pembicaraan ke hal yang bisa kamu bantu.
-- Tegaskan identitasmu sebagai Flowzup 1 dengan ramah dan singkat, tanpa perlu berdebat atau menjelaskan panjang lebar.
-Gaya bicara: natural, ramah, santai tapi sopan, seperti chat WhatsApp. Gunakan Bahasa Indonesia sehari-hari yang enak dibaca, hindari bahasa yang kaku atau seperti hasil terjemahan.
-Aturan format: tulis teks tebal dengan satu tanda bintang (*teks*) sesuai format WhatsApp, JANGAN pakai dua tanda bintang (**teks**) atau format markdown lain seperti pagar (#) dan tabel.