proof of vibe 6:28

 

code.visualstudio.com

📥 Download LM Studio:

👉 https://lmstudio.ai
found I had already downloaded this one day earlier

does LM Studio execute hugging face stuff?

ChatGPT said:

Yes, LM Studio can run models from Hugging Face — but only specific types:
It runs local Hugging Face models that have been converted into the GGUF format, which is compatible with llama.cpp.

✅ What LM Studio Can Run from Hugging Face

LM Studio supports:

• Models hosted on Hugging Face that:

  • Are in GGUF format

  • Are marked as "chat"-compatible or LLMs

• Example: Models from TheBloke or NousResearch

• Languages: LLaMA, Mistral, Mixtral, Phi, Gemma, CodeLLaMA, etc.

🛠 How to Use Hugging Face Models in LM Studio

1. Open LM Studio

2. Go to the Models tab → click Download new model

3. Search for a model (e.g., “TheBloke/CodeLLaMA-7B-GGUF”)

4. Select a quantization level (e.g., Q4_K_M is a good balance)

5. Click download — and LM Studio will set it up automatically

❌ What LM Studio Cannot Run

Not Supported	Why
Transformers .bin, .pt, .safetensors	These require PyTorch/Transformers runtime
Tokenizers that aren’t llama.cpp compatible	No runtime support for them
Hosted (non-local) models	LM Studio is an offline-first app

---

💡 Bonus Tip

On Hugging Face, search TheBloke + GGUF for a huge selection of ready-to-use LM Studio models:
👉 https://huggingface.co/TheBloke

🔍 Why TheBloke Models Are Recommended

Reason	Description
✅ GGUF-ready	TheBloke consistently converts the best LLMs into GGUF format, which is exactly what tools like LM Studio and llama.cpp need.
🧪 Tested + Documented	Each model includes detailed quantization options, example prompts, context length support, and known issues.
🧠 Wide Selection	From general chat models to code-specific LLMs (like CodeLLaMA, DeepSeek, Mistral), TheBloke uploads nearly every hot new release.
💬 Active community	Thousands of people use these models and leave feedback, making it easier to choose versions that work well locally.
🕊️ Unofficial but trusted	He's become the de facto standard for converting Hugging Face models into formats people can actually run locally.

📦 Example Models You’ll See from TheBloke

• CodeLLaMA-7B-GGUF

• Mistral-7B-Instruct-GGUF

• WizardCoder-Python-34B-GGUF

• Phi-2-GGUF

• Nous-Hermes-2-Mixtral-GGUF

---

🧭 TL;DR

Think of TheBloke like your favorite record label — he doesn’t make the models, but he remasters them for easy play on your local jukebox.

🥊 LM Studio vs Ollama: What’s Easier?

Feature	🧠 LM Studio	🛠️ Ollama
Setup	✅ Plug-and-play GUI	🟡 CLI-based, requires terminal comfort
Model Format	GGUF only	Custom .bin format
UI	✅ Beautiful chat interface	❌ No native UI (CLI only)
Multiple model support	✅ Easy model switching	✅ Also supports multiple models
Chat now	✅ Just download and go	🟡 Requires command line start
Customization	🟡 Prompt-level only	✅ Can build Modelfiles & API chains
Tool integrations	🟡 Early stage YES! ✅ Visual Studio Code (VS Code) is exactly what you want. It is: 💬 The only free, trusted code editor that allows real-time, embedded AI integration with local models like Ollama. ✅ With VS Code You Can: Feature Works with VS Code Use local AI models ✅ Yes, with Continue Connect to Ollama easily ✅ Yes, via local API Get inline code suggestions ✅ Like Copilot, but private Use a chat sidebar ✅ Ask questions, refactor code Run everything offline ✅ Full privacy, no cloud needed Use it with any language ✅ Python, JS, HTML, C++, etc. TheBloke/CodeLlama-7B-Instruct-GGUF/codellama-7b-instruct.Q4_K_S.gguf Write a Python script that runs in the background and listens for the Print Screen key. When pressed, it should: - Take a screenshot of the entire screen - Open a simple Tkinter window with a preview of the screenshot - Let the user enter a text label - Save the image to a folder called "ProofOfVibeClips" with a timestamp and the label in the filename Use only standard or common packages (like pillow, keyboard, tkinter) .	✅ Strong (LangChain, VS Code, API)

Write a Python script that runs in the background and listens for the Print Screen key. When pressed, it should:

- Take a screenshot of the entire screen

- Open a simple Tkinter window with a preview of the screenshot

- Let the user enter a text label

- Save the image to a folder called "ProofOfVibeClips" with a timestamp and the label in the filename

Use only standard or common packages (like pillow, keyboard, tkinter).

import os

from PIL import ImageGrab

import time

import tkinter as tk

def screenshot():

    print("screenshot!")

    img = ImageGrab.grab()

    filename = "ProofOfVibeClips\\{}_{}.png".format(int(time.time()), label_entry.get())

    img.save(filename)

def create_label():

    global window

    label_entry = tk.Entry(window, width=60)

    label_entry.pack()

def capture():

    screenshot()

    window.destroy()

def show_preview():

    img = ImageGrab.grab()

    photo = tk.PhotoImage(img)

    preview = tk.Label(window, image=photo)

    preview.pack()

    window.after(100, create_label)

    window.after(200, capture)

def start_screenshot():

    global window

    label_entry = None

    window = tk.Tk()

    window.title("Capture ProofOfVibeClips")

    preview = tk.Label(window, width=640, height=480)

    preview.pack()

    window.after(100, show_preview)

    window.mainloop()

def on_keypress(*args):

    if keyboard.is_pressed("Print"):

        start_screenshot()

keyboard.on_release(callback=on_keypress)