Instructions to use MidnightRunner/Misc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use MidnightRunner/Misc with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="MidnightRunner/Misc", filename="Qwen2.5-VL-7B-Instruct-Q3_K_S.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 MidnightRunner/Misc 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 MidnightRunner/Misc:UD-Q4_K_S # Run inference directly in the terminal: llama cli -hf MidnightRunner/Misc:UD-Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MidnightRunner/Misc:UD-Q4_K_S # Run inference directly in the terminal: llama cli -hf MidnightRunner/Misc:UD-Q4_K_S
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 MidnightRunner/Misc:UD-Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf MidnightRunner/Misc:UD-Q4_K_S
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 MidnightRunner/Misc:UD-Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf MidnightRunner/Misc:UD-Q4_K_S
Use Docker
docker model run hf.co/MidnightRunner/Misc:UD-Q4_K_S
- LM Studio
- Jan
- Ollama
How to use MidnightRunner/Misc with Ollama:
ollama run hf.co/MidnightRunner/Misc:UD-Q4_K_S
- Unsloth Studio
How to use MidnightRunner/Misc 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 MidnightRunner/Misc 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 MidnightRunner/Misc to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MidnightRunner/Misc to start chatting
- Atomic Chat new
- Docker Model Runner
How to use MidnightRunner/Misc with Docker Model Runner:
docker model run hf.co/MidnightRunner/Misc:UD-Q4_K_S
- Lemonade
How to use MidnightRunner/Misc with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MidnightRunner/Misc:UD-Q4_K_S
Run and chat with the model
lemonade run user.Misc-UD-Q4_K_S
List all available models
lemonade list
| license: creativeml-openrail-m | |
| language: | |
| - en | |
| base_model: [] | |
| pipeline_tag: other | |
| tags: | |
| - upscaler | |
| - denoiser | |
| - comfyui | |
| - automatic1111 | |
| datasets: [] | |
| metrics: [] | |
| # 🗂 MidnightRunner/Misc | |
| ## Overview | |
| This repo is my **miscellaneous toolbox** — a collection of models, upscalers, denoisers, configs, and other bits I keep around for quick pulls. | |
| It’s not meant to be polished, just **fast standbys** that I can drop into workflows when needed. | |
| --- | |
| ## Contents | |
| - **Upscalers** | |
| - ESRGAN, RealESRGAN, AnimeSharp, UltraSharp | |
| - SwinIR, NMKD, Foolhardy | |
| - **Denoisers & Sharpeners** | |
| - ITF SkinDiff Detail Lite | |
| - Lexica Sharp series | |
| - DeNoise realplksr | |
| - **Experimental Checkpoints** | |
| - Astraali configs | |
| - OmniSR (x2, x3, x4) | |
| - SAM (Segment Anything) weights | |
| - Motion tests (bounceV, danceMax, etc.) | |
| - **Workflow Utilities** | |
| - FixFP16Errors | |
| - Oddball safetensors | |
| - “Just in case” helper models | |
| --- | |
| ## Quick Pulls | |
| Fetch files or the entire repo with Hugging Face tools: | |
| ```bash | |
| # clone the whole repo | |
| git lfs install | |
| git clone https://huggingface.co/MidnightRunner/Misc | |
| # download a single file | |
| huggingface-cli download MidnightRunner/Misc 4x-UltraSharp.pth | |
| # pull from Python | |
| from huggingface_hub import hf_hub_download | |
| file = hf_hub_download( | |
| repo_id="MidnightRunner/Misc", | |
| filename="4x-UltraSharp.pth" | |
| ) | |
| ``` | |
| --- | |
| ## Notes | |
| * **Disorganized on purpose**: this is a stash, not a showcase. | |
| * Everything here is tested, works, and has bailed me out more than once. | |
| * Licenses follow their original sources. |