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 NOTICE from wardner/LocateAnything-3B: direct link, hf CLI and curl.
- Browser
- Download file 1.52 kB
-
https://huggingface.co/wardner/LocateAnything-3B/resolve/main/NOTICE
- Command line
-
hf download hf://wardner/LocateAnything-3B/NOTICE
-
curl -L -o NOTICE https://huggingface.co/wardner/LocateAnything-3B/resolve/main/NOTICE
1.52 kB
| Source model: nvidia/LocateAnything-3B | |
| Source URL: https://huggingface.co/nvidia/LocateAnything-3B | |
| Source artifact(s) and SHA-256: | |
| model-00001-of-00002.safetensors | |
| SHA-256: 923cfc10fed19808067da6df85a9a4220ddc1f9eb91ceee94c0fecd05d0f2d58 | |
| model-00002-of-00002.safetensors | |
| SHA-256: 3459ba101f40594f3f62d3312014f1f8378b4ba3da3b1d562480045938fc7d47 | |
| Source revision: not recoverable from conversion records | |
| Source license: NVIDIA License | |
| The files in this repository are RKNN-converted derivatives, not unmodified upstream weights. | |
| Artifact names and formats differ from upstream on purpose: the upstream checkpoint is a | |
| single safetensors file per stage and is split here into RKNN graphs plus their | |
| companion .weight files, and the upstream tokenizer.json was converted into a GGUF | |
| tokenizer. The SHA-256 values above identify the **upstream** artifacts, not the files | |
| in this repository — use SHA256SUMS for the latter. | |
| Files added by this repository (not part of the upstream model) | |
| -------------------------------------------------------------- | |
| LocateAnything-3b.json wdnwebui worker manifest — the "manual" of this distribution unit. | |
| Deliberately plain text so it can be diffed, reviewed and | |
| previewed on the Hub. | |
| config.json Release metadata and file manifest. This is NOT the upstream | |
| architecture config.json. | |
| SHA256SUMS SHA-256 checksums of every model file in this repository. | |
| README.md, | |
| README_CN.md Documentation. | |