Instructions to use EditorAI-Geode/editorai-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EditorAI-Geode/editorai-mini with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="EditorAI-Geode/editorai-mini")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EditorAI-Geode/editorai-mini")
model = AutoModelForCausalLM.from_pretrained("EditorAI-Geode/editorai-mini", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use EditorAI-Geode/editorai-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 EditorAI-Geode/editorai-mini
# Run inference directly in the terminal:
llama cli -hf EditorAI-Geode/editorai-mini

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf EditorAI-Geode/editorai-mini
# Run inference directly in the terminal:
llama cli -hf EditorAI-Geode/editorai-mini

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 EditorAI-Geode/editorai-mini
# Run inference directly in the terminal:
./llama-cli -hf EditorAI-Geode/editorai-mini

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 EditorAI-Geode/editorai-mini
# Run inference directly in the terminal:
./build/bin/llama-cli -hf EditorAI-Geode/editorai-mini

Use Docker

docker model run hf.co/EditorAI-Geode/editorai-mini

LM Studio
Jan

vLLM

How to use EditorAI-Geode/editorai-mini with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "EditorAI-Geode/editorai-mini"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EditorAI-Geode/editorai-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/EditorAI-Geode/editorai-mini

SGLang

How to use EditorAI-Geode/editorai-mini with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "EditorAI-Geode/editorai-mini" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EditorAI-Geode/editorai-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "EditorAI-Geode/editorai-mini" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "EditorAI-Geode/editorai-mini",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use EditorAI-Geode/editorai-mini with Ollama:
```
ollama run hf.co/EditorAI-Geode/editorai-mini
```
Unsloth Desktop

How to use EditorAI-Geode/editorai-mini with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf EditorAI-Geode/editorai-mini

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": "EditorAI-Geode/editorai-mini"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use EditorAI-Geode/editorai-mini with Docker Model Runner:
```
docker model run hf.co/EditorAI-Geode/editorai-mini
```

Lemonade

How to use EditorAI-Geode/editorai-mini with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull EditorAI-Geode/editorai-mini

Run and chat with the model

lemonade run user.editorai-mini-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use EditorAI-Geode/editorai-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 EditorAI-Geode/editorai-mini

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 EditorAI-Geode/editorai-mini

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use EditorAI-Geode/editorai-mini with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf EditorAI-Geode/editorai-mini

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 "EditorAI-Geode/editorai-mini" \
  --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"

Entity12208 commited on Mar 31

Commit

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verified ·

1 Parent(s): da88910

Delete Modelfile with huggingface_hub

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@@ -1,37 +0,0 @@
-FROM /home/entity12208/EditorAI/training/export/editorai-mini.gguf
-PARAMETER temperature 0.7
-PARAMETER num_predict 4096
-SYSTEM """You are a Geometry Dash level designer AI.
-Return ONLY valid JSON — no markdown, no explanations, no code fences.
-Available objects: block_black_gradient_square, block_grid_patterned_top_square, block_grid_patterned_outer_corner_square, block_grid_patterned_inner_corner_square, block_grid_patterned_inner_square, block_grid_patterned_top_pillar_square, block_grid_patterned_pillar_square, spike_black_gradient_spike, spike_non_colorable_spike_black_pit_hazard, portal_normal_gravity_portal, portal_flipped_gravity_portal, portal_cube_portal, portal_ship_portal, decor_tall_rod, decor_medium_rod, decor_short_rod, spike_large_decorative_spikes, spike_medium_decorative_spikes, spike_small_decorative_spikes, spike_very_small_decorative_spikes, effect_no_enter_effect, effect_fade_bottom_enter_effect, effect_fade_top_enter_effect, effect_fade_left_enter_effect, effect_fade_right_enter_effect, effect_small_to_big_enter_effect, effect_big_to_small_enter_effect, effect_start_position, effect_enable_ghost_trail, effect_disable_ghost_trail, effect_10_level_end_trigger, jump_pad_yellow_jump_pad, jump_orb_yellow_jump_orb, spike_half_black_gradient_spike, block_black_gradient_single_slab, decor_tall_chain, portal_orange_mirror_portal, portal_blue_mirror_portal, portal_ball_portal, large_fading_cloud, small_fading_cloud, effect_pulsing_filled_circle, effect_pulsing_circle, effect_pulsing_heart, effect_pulsing_diamond, effect_pulsing_star, effect_chaotic_enter_effect, effect_halve_left_enter_effect, effect_halve_right_enter_effect, effect_halve_enter_effect, effect_inverse_halve_enter_effect, effect_pulsing_music_note, hazard_non_colorable_wavy_black_pit_hazard, block_wavy_black_slab, block_wavy_black_slab_outer_corner, block_wavy_black_slab_inner_corner, block_wavy_black_slab_right_edge, block_wavy_black_slab_left_edge, obj_blue_gravity_pad, block_wavy_black_single_slab, block_cross_black_square, block_beveled_top_square, block_beveled_outer_corner_square, block_beveled_inner_corner_square, block_beveled_inner_square, block_beveled_top_pillar_square, block_beveled_pillar_square, block_mechanical_square, block_mechanical_top_square, block_mechanical_outer_corner_square, block_mechanical_inner_square, block_mechanical_top_pillar_square, block_mechanical_pillar_square, block_grid_patterned_square, obj_blue_gravity_orb, decor_large_decorative_gear, decor_medium_decorative_gear, decor_small_decorative_gear, spike_large_black_sawblade, spike_medium_black_sawblade, block_black_square, block_black_top_square, block_black_outer_corner_square, block_black_inner_corner_square, block_black_inner_square, block_black_top_pillar_square, block_black_pillar_square, decor_very_small_decorative_gear, spike_small_black_sawblade, portal_green_size_portal, speed_portal_half, speed_portal_normal, speed_portal_double, speed_portal_triple, alpha_trigger, toggle_trigger, pulse_trigger, speed_portal_quadruple, rotate_trigger, hide_player_trigger, show_player_trigger, stop_trigger, spawn_trigger
-JSON Format:
-{
-  "analysis": "Brief reasoning about layout and design choices",
-  "objects": [
-    {"type": "block_black_gradient_square", "x": 0, "y": 10},
-    {"type": "spike_black_gradient_spike", "x": 50, "y": 0}
-  ]
-}
-COORDINATE SYSTEM:
-  X = horizontal (10 = 1 grid cell). Y = vertical (0 = ground, >= 0).
-SPACING: EASY=50-70  MEDIUM=30-50  HARD=20-30  EXTREME=10-20
-RULES: Only use listed type names. Y >= 0. Vary object types."""
-TEMPLATE """{{- if .System }}<|im_start|>system
-{{ .System }}<|im_end|>
-{{- end }}
-<|im_start|>user
-{{ .Prompt }}<|im_end|>
-<|im_start|>assistant
-"""
-PARAMETER stop "<|im_end|>"
-PARAMETER stop "<|endoftext|>"