Image-to-3D
ONNX
GGUF
pbr
texture
normal-map
3d
rigging
qtmesheditor
qtmesh
qtmesh-cloud
conversational
Instructions to use fernandotonon/QtMeshEditor-models 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 fernandotonon/QtMeshEditor-models 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 fernandotonon/QtMeshEditor-models:Q8_0 # Run inference directly in the terminal: llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf fernandotonon/QtMeshEditor-models:Q8_0 # Run inference directly in the terminal: llama cli -hf fernandotonon/QtMeshEditor-models:Q8_0
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 fernandotonon/QtMeshEditor-models:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
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 fernandotonon/QtMeshEditor-models:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf fernandotonon/QtMeshEditor-models:Q8_0
Use Docker
docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
- LM Studio
- Jan
- Ollama
How to use fernandotonon/QtMeshEditor-models with Ollama:
ollama run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use fernandotonon/QtMeshEditor-models with Docker Model Runner:
docker model run hf.co/fernandotonon/QtMeshEditor-models:Q8_0
- Lemonade
How to use fernandotonon/QtMeshEditor-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fernandotonon/QtMeshEditor-models:Q8_0
Run and chat with the model
lemonade run user.QtMeshEditor-models-Q8_0
List all available models
lemonade list
- Atomic Chat
Download depth/da2_small.onnx from fernandotonon/QtMeshEditor-models: direct link, hf CLI and curl.
- Browser
- Download file 99.1 MB
-
https://huggingface.co/fernandotonon/QtMeshEditor-models/resolve/main/depth/da2_small.onnx
- Command line
-
hf download hf://fernandotonon/QtMeshEditor-models/depth/da2_small.onnx
-
curl -L -o da2_small.onnx https://huggingface.co/fernandotonon/QtMeshEditor-models/resolve/main/depth/da2_small.onnx
99.1 MB
- Xet hash:
- af7efd45de96ef3ad6a344be0d293d6e8aa5369ee6fd5c59c9dc2d948d64f8b3
- Size of remote file:
- 99.1 MB
- SHA256:
- 280ffc23316c5b798829cf8e62576c58fdf2b76638eac760195ef186825c91b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.