Instructions to use altic-dev/fluid-1-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use altic-dev/fluid-1-mini 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 altic-dev/fluid-1-mini:Q6_K # Run inference directly in the terminal: llama cli -hf altic-dev/fluid-1-mini:Q6_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf altic-dev/fluid-1-mini:Q6_K # Run inference directly in the terminal: llama cli -hf altic-dev/fluid-1-mini:Q6_K
Use 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 altic-dev/fluid-1-mini:Q6_K # Run inference directly in the terminal: ./llama-cli -hf altic-dev/fluid-1-mini:Q6_K
Build 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 altic-dev/fluid-1-mini:Q6_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf altic-dev/fluid-1-mini:Q6_K
Use Docker
docker model run hf.co/altic-dev/fluid-1-mini:Q6_K
- LM Studio
- Jan
- Ollama
How to use altic-dev/fluid-1-mini with Ollama:
ollama run hf.co/altic-dev/fluid-1-mini:Q6_K
- Unsloth Studio
How to use altic-dev/fluid-1-mini with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for altic-dev/fluid-1-mini to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for altic-dev/fluid-1-mini to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for altic-dev/fluid-1-mini to start chatting
- Pi
How to use altic-dev/fluid-1-mini with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf altic-dev/fluid-1-mini:Q6_K
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "altic-dev/fluid-1-mini:Q6_K" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use altic-dev/fluid-1-mini with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf altic-dev/fluid-1-mini:Q6_K
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 "altic-dev/fluid-1-mini:Q6_K" \ --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"
- Docker Model Runner
How to use altic-dev/fluid-1-mini with Docker Model Runner:
docker model run hf.co/altic-dev/fluid-1-mini:Q6_K
- Lemonade
How to use altic-dev/fluid-1-mini with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull altic-dev/fluid-1-mini:Q6_K
Run and chat with the model
lemonade run user.fluid-1-mini-Q6_K
List all available models
lemonade list
- Hermes Agent
How to use altic-dev/fluid-1-mini with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf altic-dev/fluid-1-mini:Q6_K
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 altic-dev/fluid-1-mini:Q6_K
Run Hermes
hermes
- Atomic Chat
| license: other | |
| library_name: llama-cpp | |
| tags: | |
| - gguf | |
| - local | |
| - windows | |
| - fluidintelligence | |
| # Fluid-1 Mini | |
| Experimental FluidIntelligence dictation model for local on-device use. This is | |
| a preview checkpoint, not a released model. | |
| ## Model | |
| - `fluid-1-mini-q6_k.gguf` | |
| - Base architecture: Qwen3.5 (`qwen3_5`, text-only export; vision tower excluded) | |
| - Parameters: ~2B text | |
| - Quantization: Q6_K | |
| - SHA-256: `1c83ac7acaed9efbdd278a0cc56f15ffb59f85cf7684da817e8357cdcc915147` | |
| - Size: `1,606,323,744` bytes | |
| - Converted with llama.cpp `b9870` | |
| - Requires a llama.cpp build with `qwen35` support (b9870 or newer) | |
| ## Intended use | |
| Cleaning voice dictation into written text: filler removal, self-correction | |
| chains, punctuation, capitalization, paragraph and list formatting, and email | |
| shaping. It is not a general assistant and should not be used to answer | |
| questions. | |
| ## License | |
| This model is a Qwen3.5 derivative. The base model's terms apply. | |
| Additional restriction by Altic: this model is licensed only for personal, | |
| non-commercial use. You may not use, copy, redistribute, host, bundle, | |
| fine-tune, sell, sublicense, or provide access to this model for any | |
| commercial, organizational, internal business, research, product, service, or | |
| revenue-generating purpose without prior written permission. | |
| Commercial licensing is available by contacting the owner. | |