Image-Text-to-Text
Safetensors
GGUF
Portuguese
English
gemma4
code
vision
multimodal
software-engineering
react-native
android
typescript
python
unsloth
conversational
Instructions to use SpaceGhost/SpaceCode-E2B 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 SpaceGhost/SpaceCode-E2B 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 SpaceGhost/SpaceCode-E2B:Q4_K_M # Run inference directly in the terminal: llama cli -hf SpaceGhost/SpaceCode-E2B:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf SpaceGhost/SpaceCode-E2B:Q4_K_M # Run inference directly in the terminal: llama cli -hf SpaceGhost/SpaceCode-E2B: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 SpaceGhost/SpaceCode-E2B:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf SpaceGhost/SpaceCode-E2B:Q4_K_M
Use Docker
docker model run hf.co/SpaceGhost/SpaceCode-E2B:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use SpaceGhost/SpaceCode-E2B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SpaceGhost/SpaceCode-E2B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SpaceGhost/SpaceCode-E2B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/SpaceGhost/SpaceCode-E2B:Q4_K_M
- Ollama
How to use SpaceGhost/SpaceCode-E2B with Ollama:
ollama run hf.co/SpaceGhost/SpaceCode-E2B:Q4_K_M
- Unsloth Desktop
- Pi
How to use SpaceGhost/SpaceCode-E2B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf SpaceGhost/SpaceCode-E2B: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": "SpaceGhost/SpaceCode-E2B:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use SpaceGhost/SpaceCode-E2B with Docker Model Runner:
docker model run hf.co/SpaceGhost/SpaceCode-E2B:Q4_K_M
- Lemonade
How to use SpaceGhost/SpaceCode-E2B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SpaceGhost/SpaceCode-E2B:Q4_K_M
Run and chat with the model
lemonade run user.SpaceCode-E2B-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use SpaceGhost/SpaceCode-E2B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf SpaceGhost/SpaceCode-E2B: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 SpaceGhost/SpaceCode-E2B:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use SpaceGhost/SpaceCode-E2B with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf SpaceGhost/SpaceCode-E2B: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 "SpaceGhost/SpaceCode-E2B: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"
Download MERGED_V12_MANIFEST.json from SpaceGhost/SpaceCode-E2B: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/SpaceGhost/SpaceCode-E2B/resolve/main/MERGED_V12_MANIFEST.json
- Command line
-
hf download hf://SpaceGhost/SpaceCode-E2B/MERGED_V12_MANIFEST.json
-
curl -L -o MERGED_V12_MANIFEST.json https://huggingface.co/SpaceGhost/SpaceCode-E2B/resolve/main/MERGED_V12_MANIFEST.json
1.79 kB
| { | |
| "version": "v12", | |
| "base_model": "google/gemma-4-E2B-it", | |
| "adapter_source": "SpaceCode-E2B V12 Checkpoint 345 (9e250264e93278b65c14d98e27c9631fe293734a04ed7e27140f417fb1396361)", | |
| "timestamp": "2026-11-01 00:16:35", | |
| "total_size_bytes": 10242069243, | |
| "files": { | |
| "chat_template.jinja": { | |
| "size_bytes": 18569, | |
| "sha256": "0a2c8073c878ab1da004bee933a998606537bbb62016310352c7285c3f01c5b5" | |
| }, | |
| "config.json": { | |
| "size_bytes": 4644, | |
| "sha256": "d9b2c908acf92ad058febae730771e1e3c85af051a63bf751dacb5b433ceee6c" | |
| }, | |
| "generation_config.json": { | |
| "size_bytes": 204, | |
| "sha256": "2a143a0b852e68ee1ae1880f4ab4e4afea2bb3fcffb68a3cee4ef547182bc2e0" | |
| }, | |
| "model-00001-of-00003.safetensors": { | |
| "size_bytes": 1422278032, | |
| "sha256": "67a2f4a7761f373975f639a83a97b6044353f4c682f8605776582377adfe55ad" | |
| }, | |
| "model-00002-of-00003.safetensors": { | |
| "size_bytes": 4987173642, | |
| "sha256": "882030dc73cb8418a55a7e0b58ab6c81677330c19bb94518ea0a770542798057" | |
| }, | |
| "model-00003-of-00003.safetensors": { | |
| "size_bytes": 3800219068, | |
| "sha256": "ec074aac9b6bca91363560f8e719c7476491b7db8660ec9a3535aea261d840d0" | |
| }, | |
| "model.safetensors.index.json": { | |
| "size_bytes": 200040, | |
| "sha256": "4845b88fe98a87e97d3217b4c65c722951227eb6904a353022ae23f4fec3ebbb" | |
| }, | |
| "processor_config.json": { | |
| "size_bytes": 1689, | |
| "sha256": "32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c" | |
| }, | |
| "tokenizer.json": { | |
| "size_bytes": 32169626, | |
| "sha256": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f" | |
| }, | |
| "tokenizer_config.json": { | |
| "size_bytes": 3729, | |
| "sha256": "3ab5c7b94dc97d65ca7064496fa69b88ff875378e1cb7ee3e43070c3a8170999" | |
| } | |
| } | |
| } |