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 Studio
How to use fernandotonon/QtMeshEditor-models with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fernandotonon/QtMeshEditor-models to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for fernandotonon/QtMeshEditor-models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for fernandotonon/QtMeshEditor-models to start chatting
- 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
Upload skintokens/skintokens.json with huggingface_hub
Browse files- skintokens/skintokens.json +68 -0
skintokens/skintokens.json
ADDED
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{
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"schema": "qtmesh-skintokens-onnx-v1",
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"num_points": 8192,
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"tokens_per_skin": 4,
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"tokens_skin_cond": 384,
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"vae_latent_channels": 512,
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"fsq_codebook_size": 32768,
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"tokenizer": {
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"num_discrete": 256,
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"continuous_range": [
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-1,
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1
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],
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"token_id_branch": 256,
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"token_id_bos": 257,
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"token_id_eos": 258,
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"token_id_pad": 259,
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"token_id_spring": 260,
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"token_id_cls_none": 263,
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"cls_token_id": {
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"rignet": 264,
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"vroid": 265,
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"articulation": 266
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},
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"parts_token_id": {
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"body": 261,
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"hand": 262
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},
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"vocab_size": 267
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},
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"llm": {
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"hidden_size": 896,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"head_dim": 128,
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"full_vocab_size": 33036,
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"global_eos": 33035
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},
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"transform_config": {
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"augments": [
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{
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"__target__": "trim"
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},
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{
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"__target__": "affine",
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"normalize_into": [
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-1.0,
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1.0
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]
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},
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{
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"__target__": "normalize"
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}
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],
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"order": {
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"skeleton_path": {
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"vroid": "./configs/skeleton/vroid.yaml",
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"mixamo": "./configs/skeleton/mixamo.yaml"
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}
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},
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"sampler": {
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"__target__": "mix",
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"num_samples": 54000,
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"num_vertex_samples": 16384
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}
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},
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"license": "MIT (code+weights, VAST-AI/SkinTokens); Qwen3-0.6B Apache-2.0"
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}
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