Instructions to use Shinewonder/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shinewonder/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shinewonder/models-moved", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - llama-cpp-python
How to use Shinewonder/models-moved with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Shinewonder/models-moved", filename="LLM/Qwen3VL-4B-Instruct-Q4_K_M.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Shinewonder/models-moved with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Shinewonder/models-moved:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Shinewonder/models-moved:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Shinewonder/models-moved:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Shinewonder/models-moved:Q4_K_M
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 Shinewonder/models-moved:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Shinewonder/models-moved:Q4_K_M
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 Shinewonder/models-moved:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Shinewonder/models-moved:Q4_K_M
Use Docker
docker model run hf.co/Shinewonder/models-moved:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Shinewonder/models-moved with Ollama:
ollama run hf.co/Shinewonder/models-moved:Q4_K_M
- Unsloth Studio
How to use Shinewonder/models-moved 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 Shinewonder/models-moved 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 Shinewonder/models-moved to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Shinewonder/models-moved to start chatting
- Pi
How to use Shinewonder/models-moved with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Shinewonder/models-moved:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Shinewonder/models-moved:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Shinewonder/models-moved with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Shinewonder/models-moved:Q4_K_M
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 Shinewonder/models-moved:Q4_K_M
Run Hermes
hermes
- Docker Model Runner
How to use Shinewonder/models-moved with Docker Model Runner:
docker model run hf.co/Shinewonder/models-moved:Q4_K_M
- Lemonade
How to use Shinewonder/models-moved with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Shinewonder/models-moved:Q4_K_M
Run and chat with the model
lemonade run user.models-moved-Q4_K_M
List all available models
lemonade list
| { | |
| "_commit_hash": null, | |
| "architectures": [ | |
| "DepthAnythingForDepthEstimation" | |
| ], | |
| "backbone": null, | |
| "backbone_config": { | |
| "architectures": [ | |
| "Dinov2Model" | |
| ], | |
| "hidden_size": 1024, | |
| "image_size": 518, | |
| "model_type": "dinov2", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "out_features": [ | |
| "stage21", | |
| "stage22", | |
| "stage23", | |
| "stage24" | |
| ], | |
| "out_indices": [ | |
| 21, | |
| 22, | |
| 23, | |
| 24 | |
| ], | |
| "patch_size": 14, | |
| "reshape_hidden_states": false, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4", | |
| "stage5", | |
| "stage6", | |
| "stage7", | |
| "stage8", | |
| "stage9", | |
| "stage10", | |
| "stage11", | |
| "stage12", | |
| "stage13", | |
| "stage14", | |
| "stage15", | |
| "stage16", | |
| "stage17", | |
| "stage18", | |
| "stage19", | |
| "stage20", | |
| "stage21", | |
| "stage22", | |
| "stage23", | |
| "stage24" | |
| ], | |
| "torch_dtype": "float32" | |
| }, | |
| "fusion_hidden_size": 256, | |
| "head_hidden_size": 32, | |
| "head_in_index": -1, | |
| "initializer_range": 0.02, | |
| "model_type": "depth_anything", | |
| "neck_hidden_sizes": [ | |
| 256, | |
| 512, | |
| 1024, | |
| 1024 | |
| ], | |
| "patch_size": 14, | |
| "reassemble_factors": [ | |
| 4, | |
| 2, | |
| 1, | |
| 0.5 | |
| ], | |
| "reassemble_hidden_size": 1024, | |
| "torch_dtype": "float32", | |
| "transformers_version": null, | |
| "use_pretrained_backbone": false | |
| } | |