Instructions to use fernandotonon/QtMeshEditor-t2m 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-t2m with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf fernandotonon/QtMeshEditor-t2m:Q8_0 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf fernandotonon/QtMeshEditor-t2m:Q8_0 --embeddings
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 embeddings server: ./build/bin/llama serve -hf fernandotonon/QtMeshEditor-t2m:Q8_0 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use fernandotonon/QtMeshEditor-t2m with Ollama:
ollama run hf.co/fernandotonon/QtMeshEditor-t2m:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use fernandotonon/QtMeshEditor-t2m with Docker Model Runner:
docker model run hf.co/fernandotonon/QtMeshEditor-t2m:Q8_0
- Lemonade
How to use fernandotonon/QtMeshEditor-t2m with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull fernandotonon/QtMeshEditor-t2m:Q8_0
Run and chat with the model
lemonade run user.QtMeshEditor-t2m-Q8_0
List all available models
lemonade list
- Atomic Chat
data: publish the 150-clip curated library v8.0 was trained on
Browse filesThe repo previously carried a 41-clip library that could NOT reproduce the shipped model. This is the exact training source.
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motion-library-v2.json
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