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

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

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"

SpaceCode-E2B / lora_master /adapter_config.json

SpaceGhost

Persist Master LoRA checkpoint (84 steps, loss=1.1474, unified vFinal)

7f2753e verified 5 days ago

Raw History Blame Contribute Delete

29.6 kB

{
  "alora_invocation_tokens": null,
  "alpha_pattern": {},
  "arrow_config": null,
  "auto_mapping": {
    "base_model_class": "Gemma4ForConditionalGeneration",
    "parent_library": "transformers.models.gemma4.modeling_gemma4",
    "unsloth_fixed": true
  },
  "base_model_name_or_path": "SpaceGhost/SpaceCode-E2B",
  "bias": "none",
  "corda_config": null,
  "ensure_weight_tying": false,
  "eva_config": null,
  "exclude_modules": null,
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "kasa_config": null,
  "layer_replication": null,
  "layers_pattern": null,
  "layers_to_transform": null,
  "loftq_config": {},
  "lora_alpha": 16,
  "lora_bias": false,
  "lora_dropout": 0.05,
  "lora_ga_config": null,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": null,
  "monteclora_config": null,
  "peft_type": "LORA",
  "peft_version": "0.21.2",
  "qalora_group_size": 16,
  "r": 16,
  "rank_pattern": {},
  "revision": null,
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