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🚀 Run <14B, 12B, 8B… LLMs **for FREE** on Google Colab (15GB VRAM GPU)
🔗 Repo: https://github.com/seyf1elislam/LocalLLM_OneClick_Colab
📌 How to Use
1. Open the notebook → Click “Open in Colab” and enable GPU mode.
2. Enter model details → Provide the Hugging Face repo name & quantization type.
* Example:
unsloth/Qwen3-8B-GGUF with quant Q5_k_m3. Run all cells → Wait 1–3 minutes. You'll get a link to the GUI & API (OpenAI-compatible).
💡 Yes, it’s really free. Enjoy! ✨
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📝 Supported Models (examples)
* Qwen3 14B** →
Q5_k_m, Q4_k_m* Qwen3 8B** →
Q8_0* Nemo 12B →
Q6_k, Q5_k_m* Gemma3 12B →
Q6_k, Q5_k_m---
💻 Available Notebooks
1. KoboldCpp(⭐⭐⭐ Recommended – faster setup & inference)
🔗 https://github.com/seyf1elislam/LocalLLM_OneClick_Colab/blob/main/awesome_koboldcpp_notebook.ipynb
2. TextGen-WebUI(⭐⭐ Recommended)
🔗 https://github.com/seyf1elislam/LocalLLM_OneClick_Colab/blob/main/Run_any_gguf_model_in_TextGen_webui.ipynb