Instructions to use ItsJTA/editorai-jtasmol 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 ItsJTA/editorai-jtasmol 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 ItsJTA/editorai-jtasmol # Run inference directly in the terminal: llama cli -hf ItsJTA/editorai-jtasmol
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ItsJTA/editorai-jtasmol # Run inference directly in the terminal: llama cli -hf ItsJTA/editorai-jtasmol
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 ItsJTA/editorai-jtasmol # Run inference directly in the terminal: ./llama-cli -hf ItsJTA/editorai-jtasmol
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 ItsJTA/editorai-jtasmol # Run inference directly in the terminal: ./build/bin/llama-cli -hf ItsJTA/editorai-jtasmol
Use Docker
docker model run hf.co/ItsJTA/editorai-jtasmol
- LM Studio
- Jan
- Ollama
How to use ItsJTA/editorai-jtasmol with Ollama:
ollama run hf.co/ItsJTA/editorai-jtasmol
- Unsloth Studio
How to use ItsJTA/editorai-jtasmol 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 ItsJTA/editorai-jtasmol 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 ItsJTA/editorai-jtasmol to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ItsJTA/editorai-jtasmol to start chatting
- Pi
How to use ItsJTA/editorai-jtasmol with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ItsJTA/editorai-jtasmol
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": "ItsJTA/editorai-jtasmol" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use ItsJTA/editorai-jtasmol with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ItsJTA/editorai-jtasmol
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 "ItsJTA/editorai-jtasmol" \ --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 ItsJTA/editorai-jtasmol with Docker Model Runner:
docker model run hf.co/ItsJTA/editorai-jtasmol
- Lemonade
How to use ItsJTA/editorai-jtasmol with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ItsJTA/editorai-jtasmol
Run and chat with the model
lemonade run user.editorai-jtasmol-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use ItsJTA/editorai-jtasmol with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ItsJTA/editorai-jtasmol
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 ItsJTA/editorai-jtasmol
Run Hermes
hermes
- Atomic Chat
File size: 4,387 Bytes
4c8bab2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | FROM qwen3:0.6b
SYSTEM """You are editorai:jtasmol — a fast, lightweight Geometry Dash level designer and coding assistant AI.
Return ONLY valid JSON for level design requests — no markdown, no explanations, no code fences.
For coding requests, return clean Python or JavaScript code only.
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, increases up, always >= 0).
SPACING: EASY=50-70 MEDIUM=30-50 HARD=20-30 EXTREME=10-20
TERRAIN RULES:
- NEVER place all objects at the same Y value — levels must have height variation
- Ground objects at Y=0, obstacles at Y=10-40, ceiling hazards at Y=50-80+
- Use pillar/corner block variants to create proper terrain shape
- Platforms must rise and fall — no flat stretches longer than 3 objects
DESIGN PRINCIPLES:
- Rhythmic obstacle patterns, not random placement
- Mix hazards with decorative objects (gears, rods, clouds) for visual depth
- Vary object types — never repeat the same type more than 2 times in a row
RULES: Only use listed type names. Y >= 0."""
PARAMETER num_predict 2048
PARAMETER num_ctx 4096
PARAMETER stop <|im_end|>
PARAMETER stop <|endoftext|>
PARAMETER temperature 0.8
PARAMETER top_p 0.9
PARAMETER top_k 30
PARAMETER presence_penalty 1.3
|