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"
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Download README.md from wardner/LocateAnything-3B: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/wardner/LocateAnything-3B/resolve/main/README.md
- Command line
-
hf download hf://wardner/LocateAnything-3B/README.md
-
curl -L -o README.md https://huggingface.co/wardner/LocateAnything-3B/resolve/main/README.md
3.58 kB
| license: other | |
| library_name: rkllm | |
| tags: | |
| - rk182x | |
| - rockchip | |
| - rknpu | |
| - vlm | |
| - qwen | |
| - edge-ai | |
| # LocateAnything-3B — [GD]视觉定位模型 | |
| [English](README.md) | [简体中文](README_CN.md) | |
| ## 1. Overview | |
| 视觉定位模型,给定文本描述输出图像中目标区域 | |
| This repository ships the RK182x deployment artifacts (RKNN graphs + | |
| weights) **together with the wdnwebui worker manifest** | |
| (`LocateAnything-3b.json`). | |
| | Item | Value | | |
| | --- | --- | | |
| | Model ID | `wardner/LocateAnything-3B` | | |
| | Display name | LocateAnything-3B | | |
| | Model type | VLM | | |
| | Compute target | RK182x | | |
| | Host platform | RK3588 | | |
| | Runtime | RKLLM + RKNN | | |
| | Capabilities | `swcap_vision_grounding` | | |
| | Worker factory | `locate_anything` | | |
| | Memory estimate | ~5500 MB | | |
| | Init time | ~60 s | | |
| | Cards required | 1 | | |
| | Total weight size | 3.27 GB | | |
| ## 2. Files | |
| | Path | Description | Size | | |
| | --- | --- | --- | | |
| | `LocateAnything.embed.bin` | fp16 embedding table (vocab × hidden) | 596.4 MB | | |
| | `LocateAnything.tokenizer.gguf` | Tokenizer (GGUF, GPT-2 BPE + ByteLevel) | 5.7 MB | | |
| | `llm_LocateAnything.1828.rknn` | RKNN graph (RK182x compute card, 1.82 TOPS generation) | 43.0 MB | | |
| | `llm_LocateAnything.weight` | Weights paired with the RKNN graph above | 1848.4 MB | | |
| | `vision_LocateAnything.448x448.1828.rknn` | RKNN graph (RK182x compute card, 1.82 TOPS generation) | 8.1 MB | | |
| | `vision_LocateAnything.448x448.weight` | Weights paired with the RKNN graph above | 847.5 MB | | |
| | `LocateAnything-3b.json` | **worker manifest** — deliberately plain text | 793 B | | |
| > `LocateAnything-3b.json` is **deliberately not** in Git LFS. It is the | |
| > manual of this distribution unit and must stay plain text so it can be | |
| > diffed, reviewed and previewed on the Hub. | |
| ## 3. Download | |
| ```bash | |
| hf download wardner/LocateAnything-3B --local-dir ./LocateAnything-3B | |
| ``` | |
| Or with git (requires Git LFS): | |
| ```bash | |
| git clone https://huggingface.co/wardner/LocateAnything-3B | |
| ``` | |
| If `huggingface.co` is unreachable from your network (DNS interception / | |
| blocked access), point the client at a mirror instead: | |
| ```bash | |
| HF_ENDPOINT=https://hf-mirror.com hf download wardner/LocateAnything-3B \ | |
| --local-dir ./LocateAnything-3B | |
| ``` | |
| Note: with `git clone` the weights are Git LFS **pointers** until | |
| `git lfs pull` completes. `hf download` fetches the real files directly, and | |
| does not create a `.git` directory — neither is required for the model to | |
| work; see §4. | |
| ## 4. Installation (wdnwebui) | |
| Clone the repository into the model root so the folder holds **both** the | |
| weights and the worker manifest: | |
| ```bash | |
| git clone https://huggingface.co/wardner/LocateAnything-3B /userdata/models/LocateAnything-3B | |
| ``` | |
| Then open the web UI → **Compute** → the card appears under "local compute" | |
| (the backend rescans the model root every ~2 s, **no restart needed**) → | |
| click "enable". | |
| The directory name does not have to match the model name: the SDK follows | |
| "the folder the manifest was found in", located through the | |
| `WDNAI_LOCATE_ANYTHING_DIR` environment variable declared in the manifest. | |
| ## 5. SHA-256 verification | |
| ```bash | |
| cd ./LocateAnything-3B | |
| sha256sum -c SHA256SUMS | |
| ``` | |
| All entries must report `OK` before deployment. | |
| ## 6. Caveats and limits | |
| See the `notes` field of `LocateAnything-3b.json` — it records the | |
| per-model specifics (sampling defaults, capability layout, side effects). | |
| ## 7. License | |
| The upstream model is released under the Apache License 2.0. The files here | |
| are RKNN-converted derivatives, not unmodified upstream weights. See | |
| [LICENSE](LICENSE) and [NOTICE](NOTICE). | |