Instructions to use wardner/LocateAnything-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use wardner/LocateAnything-3B with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use wardner/LocateAnything-3B 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 wardner/LocateAnything-3B # Run inference directly in the terminal: llama cli -hf wardner/LocateAnything-3B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf wardner/LocateAnything-3B # Run inference directly in the terminal: llama cli -hf wardner/LocateAnything-3B
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 wardner/LocateAnything-3B # Run inference directly in the terminal: ./build/bin/llama cli -hf wardner/LocateAnything-3B
Use Docker
docker model run hf.co/wardner/LocateAnything-3B
- Llama new
- LM Studio
- Jan
- Ollama
How to use wardner/LocateAnything-3B with Ollama:
ollama run hf.co/wardner/LocateAnything-3B
- Unsloth Desktop
- Pi
How to use wardner/LocateAnything-3B with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf wardner/LocateAnything-3B
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": "wardner/LocateAnything-3B" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use wardner/LocateAnything-3B with Docker Model Runner:
docker model run hf.co/wardner/LocateAnything-3B
- Lemonade
How to use wardner/LocateAnything-3B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull wardner/LocateAnything-3B
Run and chat with the model
lemonade run user.LocateAnything-3B-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use wardner/LocateAnything-3B with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf wardner/LocateAnything-3B
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 wardner/LocateAnything-3B
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use wardner/LocateAnything-3B with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf wardner/LocateAnything-3B
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 "wardner/LocateAnything-3B" \ --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 config.json from wardner/LocateAnything-3B: direct link, hf CLI and curl.
- Browser
- Download file 1.94 kB
-
https://huggingface.co/wardner/LocateAnything-3B/resolve/main/config.json
- Command line
-
hf download hf://wardner/LocateAnything-3B/config.json
-
curl -L -o config.json https://huggingface.co/wardner/LocateAnything-3B/resolve/main/config.json
1.94 kB
| { | |
| "schema_version": "1.0", | |
| "model_id": "wardner/LocateAnything-3B", | |
| "display_name": "LocateAnything-3B", | |
| "model_type": "VLM", | |
| "chip_label": "RK182x", | |
| "supported_chips": [ | |
| "RK182x" | |
| ], | |
| "host_platform": "RK3588", | |
| "runtime_type": "rkllm+rknn", | |
| "worker": { | |
| "id": "locate_anything", | |
| "label": "[GD]视觉定位模型", | |
| "capability_types": [ | |
| "swcap_vision_grounding" | |
| ], | |
| "model_dir_env": "WDNAI_LOCATE_ANYTHING_DIR", | |
| "model_dir_name": "LocateAnything-3B", | |
| "available_targets": [ | |
| "182x" | |
| ], | |
| "memory_estimate_mb": 5500, | |
| "estimated_init_seconds": 60 | |
| }, | |
| "files": [ | |
| { | |
| "path": "LocateAnything.embed.bin", | |
| "size": 625381376, | |
| "lfs": true, | |
| "sha256": "ce1515f14bc5dec19664994e105e22f19d0c682c55a19b04260a15be17178654" | |
| }, | |
| { | |
| "path": "LocateAnything.tokenizer.gguf", | |
| "size": 5942707, | |
| "lfs": true, | |
| "sha256": "ca08804b1187ed778fd02ff9039cc3c7d2147d2e54723b3fe53b5f64e513e219" | |
| }, | |
| { | |
| "path": "llm_LocateAnything.1828.rknn", | |
| "size": 45101424, | |
| "lfs": true, | |
| "sha256": "06141c21ace8465c8e49cbeb84370f875d5cefe592ba312e39dab617a263d5cd" | |
| }, | |
| { | |
| "path": "llm_LocateAnything.weight", | |
| "size": 1938139648, | |
| "lfs": true, | |
| "sha256": "37b4ec3ca6725fed3f5c755a5248dc4b7c4fe8c84e9c37c7ea05e95185b4b2cd" | |
| }, | |
| { | |
| "path": "vision_LocateAnything.448x448.1828.rknn", | |
| "size": 8544688, | |
| "lfs": true, | |
| "sha256": "777f2cf4dd7245f85f009d8bb375962294f274ec985aba75454e3162cf77140e" | |
| }, | |
| { | |
| "path": "vision_LocateAnything.448x448.weight", | |
| "size": 888622592, | |
| "lfs": true, | |
| "sha256": "5e930ed7e27ccb361063fd51c56039b99047f29ae83942e8f793b3c3962858b4" | |
| }, | |
| { | |
| "path": "LocateAnything-3b.json", | |
| "size": 793, | |
| "lfs": false, | |
| "sha256": "7670ab40a6d5898ee69e7e1556a87b65b178507e4211a3085f396446d055c7a2" | |
| } | |
| ] | |
| } | |