Instructions to use hipinis/20260718 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 hipinis/20260718 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 hipinis/20260718:Q8_0 # Run inference directly in the terminal: llama cli -hf hipinis/20260718:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf hipinis/20260718:Q8_0 # Run inference directly in the terminal: llama cli -hf hipinis/20260718: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 hipinis/20260718:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf hipinis/20260718: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 hipinis/20260718:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf hipinis/20260718:Q8_0
Use Docker
docker model run hf.co/hipinis/20260718:Q8_0
- LM Studio
- Jan
- Ollama
How to use hipinis/20260718 with Ollama:
ollama run hf.co/hipinis/20260718:Q8_0
- Unsloth Desktop
- Pi
How to use hipinis/20260718 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf hipinis/20260718:Q8_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "hipinis/20260718:Q8_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use hipinis/20260718 with Docker Model Runner:
docker model run hf.co/hipinis/20260718:Q8_0
- Lemonade
How to use hipinis/20260718 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull hipinis/20260718:Q8_0
Run and chat with the model
lemonade run user.20260718-Q8_0
List all available models
lemonade list
- Hermes Agent
How to use hipinis/20260718 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf hipinis/20260718:Q8_0
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 hipinis/20260718:Q8_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use hipinis/20260718 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf hipinis/20260718:Q8_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "hipinis/20260718:Q8_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download custom_nodes/ComfyUI-Custom-Scripts/web/js/common/lightbox.js from hipinis/20260718: direct link, hf CLI and curl.
- Browser
- Download file 3.46 kB
-
https://huggingface.co/hipinis/20260718/resolve/main/custom_nodes/ComfyUI-Custom-Scripts/web/js/common/lightbox.js
- Command line
-
hf download hf://hipinis/20260718/custom_nodes/ComfyUI-Custom-Scripts/web/js/common/lightbox.js
-
curl -L -o lightbox.js https://huggingface.co/hipinis/20260718/resolve/main/custom_nodes/ComfyUI-Custom-Scripts/web/js/common/lightbox.js
3.46 kB
| import { $el } from "../../../../scripts/ui.js"; | |
| import { addStylesheet, getUrl, loadImage } from "./utils.js"; | |
| import { createSpinner } from "./spinner.js"; | |
| addStylesheet(getUrl("lightbox.css", import.meta.url)); | |
| const $$el = (tag, name, ...args) => { | |
| if (name) name = "-" + name; | |
| return $el(tag + ".pysssss-lightbox" + name, ...args); | |
| }; | |
| const ani = async (a, t, b) => { | |
| a(); | |
| await new Promise((r) => setTimeout(r, t)); | |
| b(); | |
| }; | |
| export class Lightbox { | |
| constructor() { | |
| this.el = $$el("div", "", { | |
| parent: document.body, | |
| onclick: (e) => { | |
| e.stopImmediatePropagation(); | |
| this.close(); | |
| }, | |
| style: { | |
| display: "none", | |
| opacity: 0, | |
| }, | |
| }); | |
| this.closeBtn = $$el("div", "close", { | |
| parent: this.el, | |
| }); | |
| this.prev = $$el("div", "prev", { | |
| parent: this.el, | |
| onclick: (e) => { | |
| this.update(-1); | |
| e.stopImmediatePropagation(); | |
| }, | |
| }); | |
| this.main = $$el("div", "main", { | |
| parent: this.el, | |
| }); | |
| this.next = $$el("div", "next", { | |
| parent: this.el, | |
| onclick: (e) => { | |
| this.update(1); | |
| e.stopImmediatePropagation(); | |
| }, | |
| }); | |
| this.link = $$el("a", "link", { | |
| parent: this.main, | |
| target: "_blank", | |
| }); | |
| this.spinner = createSpinner(); | |
| this.link.appendChild(this.spinner); | |
| this.img = $$el("img", "img", { | |
| style: { | |
| opacity: 0, | |
| }, | |
| parent: this.link, | |
| onclick: (e) => { | |
| e.stopImmediatePropagation(); | |
| }, | |
| onwheel: (e) => { | |
| if (!(e instanceof WheelEvent) || e.ctrlKey) { | |
| return; | |
| } | |
| const direction = Math.sign(e.deltaY); | |
| this.update(direction); | |
| }, | |
| }); | |
| } | |
| close() { | |
| ani( | |
| () => (this.el.style.opacity = 0), | |
| 200, | |
| () => (this.el.style.display = "none") | |
| ); | |
| } | |
| async show(images, index) { | |
| this.images = images; | |
| this.index = index || 0; | |
| await this.update(0); | |
| } | |
| async update(shift) { | |
| if (shift < 0 && this.index <= 0) { | |
| return; | |
| } | |
| if (shift > 0 && this.index >= this.images.length - 1) { | |
| return; | |
| } | |
| this.index += shift; | |
| this.prev.style.visibility = this.index ? "unset" : "hidden"; | |
| this.next.style.visibility = this.index === this.images.length - 1 ? "hidden" : "unset"; | |
| const img = this.images[this.index]; | |
| this.el.style.display = "flex"; | |
| this.el.clientWidth; // Force a reflow | |
| this.el.style.opacity = 1; | |
| this.img.style.opacity = 0; | |
| this.spinner.style.display = "inline-block"; | |
| try { | |
| await loadImage(img); | |
| } catch (err) { | |
| console.error('failed to load image', img, err); | |
| } | |
| this.spinner.style.display = "none"; | |
| this.link.href = img; | |
| this.img.src = img; | |
| this.img.style.opacity = 1; | |
| } | |
| async updateWithNewImage(img, feedDirection) { | |
| // No-op if lightbox is not open | |
| if (this.el.style.display === "none" || this.el.style.opacity === "0") return; | |
| // Ensure currently shown image does not change | |
| const [method, shift] = feedDirection === "newest first" ? ["unshift", 1] : ["push", 0]; | |
| this.images[method](img); | |
| await this.update(shift); | |
| } | |
| } | |
| export const lightbox = new Lightbox(); | |
| addEventListener('keydown', (event) => { | |
| if (lightbox.el.style.display === 'none') { | |
| return; | |
| } | |
| const { key } = event; | |
| switch (key) { | |
| case 'ArrowLeft': | |
| case 'a': | |
| lightbox.update(-1); | |
| break; | |
| case 'ArrowRight': | |
| case 'd': | |
| lightbox.update(1); | |
| break; | |
| case 'Escape': | |
| lightbox.close(); | |
| break; | |
| } | |
| }); |