Instructions to use keisuke-miyako/springsea-0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use keisuke-miyako/springsea-0.2 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="keisuke-miyako/springsea-0.2", filename="gemma-4-e2b-it.Q4_K_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use keisuke-miyako/springsea-0.2 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf keisuke-miyako/springsea-0.2:Q4_K_M # Run inference directly in the terminal: llama-cli -hf keisuke-miyako/springsea-0.2:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf keisuke-miyako/springsea-0.2:Q4_K_M # Run inference directly in the terminal: llama-cli -hf keisuke-miyako/springsea-0.2:Q4_K_M
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 keisuke-miyako/springsea-0.2:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf keisuke-miyako/springsea-0.2:Q4_K_M
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 keisuke-miyako/springsea-0.2:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf keisuke-miyako/springsea-0.2:Q4_K_M
Use Docker
docker model run hf.co/keisuke-miyako/springsea-0.2:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use keisuke-miyako/springsea-0.2 with Ollama:
ollama run hf.co/keisuke-miyako/springsea-0.2:Q4_K_M
- Unsloth Studio new
How to use keisuke-miyako/springsea-0.2 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 keisuke-miyako/springsea-0.2 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 keisuke-miyako/springsea-0.2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for keisuke-miyako/springsea-0.2 to start chatting
- Pi new
How to use keisuke-miyako/springsea-0.2 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf keisuke-miyako/springsea-0.2:Q4_K_M
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": "keisuke-miyako/springsea-0.2:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use keisuke-miyako/springsea-0.2 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf keisuke-miyako/springsea-0.2: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 keisuke-miyako/springsea-0.2:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use keisuke-miyako/springsea-0.2 with Docker Model Runner:
docker model run hf.co/keisuke-miyako/springsea-0.2:Q4_K_M
- Lemonade
How to use keisuke-miyako/springsea-0.2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull keisuke-miyako/springsea-0.2:Q4_K_M
Run and chat with the model
lemonade run user.springsea-0.2-Q4_K_M
List all available models
lemonade list
Overview
SpringSea is a fine-tuned version of google/gemma-4-E2B-it, specialized for generating, completing, and reasoning about 4D code — the proprietary language powering 4D application development.
The goal of this project is to develop a coding assistant model that understands the full 4D development ecosystem.
LoRA Training Details
0423-02 💥
Classes are over-indexing.
| Type | Size | Rank | Alpha | Warmup | Rate | Epochs | Rows | Steps | Duration |
|---|---|---|---|---|---|---|---|---|---|
| Text | 4.19 MB | 32 | 64 | 0.1 | 2e-4 | 3 | 1298 | 489 | 55:42 |
0423-01 💥
Language is not activated.
| Type | Size | Rank | Alpha | Warmup | Rate | Epochs | Rows | Steps | Duration |
|---|---|---|---|---|---|---|---|---|---|
| Text | 4.19 MB | 32 | 64 | 0.1 | 2e-5 | 1 | 163 | 1298 | 17:41 |
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