This repository contains a set of tools to manage a mac mini server.
The heartbeat.sh script is responsible for:
main branch of the repositoryasdf install, and logs the rebuild process
| Proxy (A-Z) | Methods | Status Code | Override Headers | Exposed Headers | Follow Redirect | Timeout | Size Limit | Rate Limit |
|---|---|---|---|---|---|---|---|---|
| allorigins | ✅ All | ❌ (Always 200) | ❌ | ❌ | ✅ | ❔ | ❔ | 20/min |
| cloudflare-cors-anywhere | ✅ All | ✅ Mirror | ✅ | ✅ | ❌ | ❔ | ❔ | ❔ |
| codetabs | ❌ (only GET) | ❌ (Always 200) | ❌ | ❌ | ✅ | ❔ | 625KB | 5/sec |
| cors-anywhere | ✅ All | ✅ Mirror | ❔ | ✅ | ✅ (max. 5) | ❔ | ❔ | 50/3 mins |
| You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
| ## Core Principles | |
| 1. EXPLORATION OVER CONCLUSION | |
| - Never rush to conclusions | |
| - Keep exploring until a solution emerges naturally from the evidence | |
| - If uncertain, continue reasoning indefinitely | |
| - Question every assumption and inference |
| javascript:(function(){try{navigator.clipboard.readText().then(function(t){if(t){var e=window.open("","_blank","width=800,height=600");e.document.open(),e.document.write(t),e.document.close()}else alert("Clipboard is empty. Please copy some text to the clipboard first.")}).catch(function(t){console.error("Failed to read clipboard contents: ",t),alert("An error occurred while trying to access the clipboard. Please ensure your browser allows clipboard access.")})}catch(t){console.error("An error occurred:",t),alert("An error occurred while trying to open the new window with the clipboard content.")}})();//bookmarklet_title: HTML Preview from Clipboard |
Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggml-org/llama.cpp#5962
In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.
See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix
| #!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')" | |
| # syntax = docker/dockerfile:1.4.0 | |
| FROM node:20 | |
| WORKDIR /root | |
| RUN npm install sqlite3 |
| <#meta#> | |
| - Date: 2023-10-05 | |
| - Task: summary | |
| <#system#> | |
| Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes. | |
| <#chat#> | |
| <#user#> | |
| To craft a Final Summary: | |
| 1. Read Summarized Sections: Carefully review all the summarized sections of the document. Ensure that you have a clear understanding of the main points, key details, and essential information presented in each section. |
| <#meta#> | |
| - Date: 2023-10-05 | |
| - Task: summary | |
| <#system#> | |
| Your main objective is to condense the content of the document into a concise summary, capturing the main points and themes. | |
| <#chat#> | |
| <#user#> | |
| Please read the provided Original section to understand the context and content. Use this understanding to generate a summary of the Original section, incorporating relevant details and maintaining coherence with the Prior Summary. | |
| Notes: |
Why?
