# Run LLaMA AI on Your PC: Full Guide for Beginners **URL:** \ **Category:** Tutorials & Methods\ **Tags:** tools, ai\ **Created:** [June 13, 2025, 3:37pm UTC](https://onehack.st/t/run-llama-ai-on-your-pc-full-guide-for-beginners/306544 "2025-06-13T15:37:30Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![SRZ](https://onehack.st/user_avatar/onehack.st/srz/32/146132_2.png) [@SRZ](https://onehack.st/u/SRZ)\ **Post date:** [June 13, 2025, 3:37pm UTC](https://onehack.st/t/run-llama-ai-on-your-pc-full-guide-for-beginners/306544/1 "2025-06-13T15:37:30Z")
# How People Are Running Meta’s AI Models at Home - (little old research dated 2 yr. ago) Meta’s powerful LLaMA large language model, originally meant for researchers, was leaked online in early March 2023. The leak made advanced AI technology widely available, sparking debate about risks and benefits. Meta’s powerful LLaMA AI models — the kind that can write, chat, and code — are now available for anyone to run on a personal computer. No need to rely on paid APIs or cloud services. ### 🧵 How It All Works in One Line **Download the model ➜ Follow the setup guide ➜ Run it on your PC ➜ Start chatting with your own AI** ![image](https://onehack.st/uploads/default/original/3X/8/6/8646b2173e8b9dd278b0373fbcd70f77c66dc754.jpeg) * * * ## 🤖 What Is LLaMA? LLaMA is Meta’s version of a smart AI like ChatGPT. It can: - Answer questions - Write emails or stories - Help with programming - Hold natural conversations The model comes in four sizes: - 7B (basic) - 13B (medium) - 30B (advanced) - 65B (most powerful) The bigger the model, the better it performs — but it also needs stronger hardware. * * * ## 💻 What Kind of Computer Is Needed? Here’s the minimum amount of graphics memory (VRAM) needed: | Model Size | Minimum VRAM | | --- | --- | | 7B | 10 GB | | 13B | 20 GB | | 30B | 40 GB | | 65B | 80 GB | ### Good news: Smaller “quantized” versions need much less VRAM - The 7B model can run on GPUs with just 6 GB using 4-bit mode - The 65B model can run on two RTX 3090 cards using the same trick * * * ## 🛠 Easy Setup in a Few Steps Most people followed a simple process: 1. Downloaded the model files from a public GitHub page 2. Used a step-by-step guide to set it up 3. Started testing the AI locally — no internet connection needed * * * ## 🔗 Key Resources - 📥 Model download: [github.com/shawwn/llama-dl](https://github.com/shawwn/llama-dl) - 🧾 Setup guide: [rentry.org/llama-tard-v2](https://rentry.org/llama-tard-v2#tips-and-tricks) - 🐑 Alpaca (fine-tuned version): [github.com/cocktailpeanut/dalai](https://github.com/cocktailpeanut/dalai) - 💻 Rent GPU time if needed: [vast.ai](http://vast.ai/) - 🧩 Run large models with low memory: [github.com/FMInference/FlexGen](https://github.com/FMInference/FlexGen) * * * ## 🧪 What This AI Can Actually Do People have used it to: - Write full poems, jokes, or prayers - Generate working Python scripts - Carry out long conversations - Translate languages or mimic writing styles Some users compared the largest model (65B) to GPT-3 and said the results were just as good. * * * ## 🧠 Running Without a High-End GPU There’s a tool called **FlexGen** that helps run big models even with lower-end GPUs (16GB+ VRAM). It uses your PC’s RAM and disk to manage the load — it’s slower, but it works. * * * ## ⚠ Important Things to Know - Use only trusted links — avoid shady sites or random downloads - These models were meant for research, not general public use - Don’t expect fast performance on old computers - Running on CPUs is extremely slow — several minutes per word - Backup your files — setting this up may involve some risk * * * ## 💡 The Alpaca Model Is Even Easier Stanford released **Alpaca** , a version of LLaMA that’s fine-tuned for better answers. It can be launched with just two commands: > git clone [https://github.com/cocktailpeanut/dalai](https://github.com/cocktailpeanut/dalai) > cd dalai && npm install && npm run dev Once done, the AI runs in your web browser. * * * ## 💬 What Hardware Are People Using? The 7B model runs smoothly on GPUs like the RTX 3080. Those with stronger cards — like the 3090 or A100 — can try the larger models like 13B or even 65B. With tweaks like 4-bit mode, even 6GB cards can run a basic version. * * * ## 🚀 Final Thoughts This is a big deal. These advanced AI models are no longer locked behind big tech companies. Anyone with a decent computer can explore and use them. No subscriptions. No limits. Just powerful AI that runs locally — in your full control. * * * ---
**Author:** ![Teacher\_Alvaro](https://onehack.st/user_avatar/onehack.st/teacher_alvaro/32/133875_2.png) [@Teacher\_Alvaro](https://onehack.st/u/Teacher_Alvaro)\ **Post date:** [June 13, 2025, 9:41pm UTC](https://onehack.st/t/run-llama-ai-on-your-pc-full-guide-for-beginners/306544/2 "2025-06-13T21:41:17Z")
Nvidia GTX960 +16Ram + i5 +WIn10… It´s an _ **old CPU** _? _ **Middle** _? Can this setup run any model at all? Your opinion is highly valued 🙂 ---
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [June 13, 2025, 9:46pm UTC](https://onehack.st/t/run-llama-ai-on-your-pc-full-guide-for-beginners/306544/3 "2025-06-13T21:46:06Z")
> [@Teacher\_Alvaro](#): > > i5 ## **CPU Requirements** A **strong CPU** is essential for handling various computational tasks and managing data flow to the GPU. While Llama 3 is GPU-intensive, the CPU plays an important role in pre-processing and parallel operations. - **Minimum CPU Requirement:** AMD Ryzen 7 or Intel Core i7 (12th Gen or newer) - **Recommended CPU:** AMD Ryzen 9 or Intel Core i9 (13th Gen or newer) - **High-End Option:** AMD Threadripper or Intel Xeon for large-scale AI applications A **higher core count** helps improve efficiency, especially for training large models. Multi-threading capability also plays a role in optimizing workloads. ## **RAM Requirements** RAM is crucial for storing temporary data and ensuring smooth execution. Llama 3 needs **a large amount of RAM** to handle multiple tasks and large datasets effectively. - **Minimum RAM:** 32GB DDR5 - **Recommended RAM:** 64GB DDR5 - **For Large-Scale Use:** 128GB+ DDR5 Faster RAM speeds (e.g., **DDR5-5200MHz or higher** ) help reduce latency, improving data access and processing times. ## **GPU VRAM Requirements** Llama 3 is heavily dependent on the **GPU for training and inference**. The amount of **VRAM (video memory)** plays a significant role in determining how well the model runs. - **Minimum GPU VRAM:** 24GB (e.g., NVIDIA RTX 3090, RTX 4090, or equivalent) - **Recommended VRAM:** 48GB (e.g., NVIDIA RTX 6000 Ada, RTX A6000, AMD Radeon Pro W7900) - **For Large Models and Training:** 80GB+ (e.g., NVIDIA H100, A100, or AMD MI300) For **multi-GPU setups** , NVLink or PCIe interconnects can be used for **better communication** between GPUs. ## **Llama 4 Requirements** Llama 4 is expected to be more **powerful and demanding** than Llama 3. It may require even better hardware to run efficiently. - **Expected CPU Requirement:** AMD Ryzen 9 7950X or Intel Core i9 14900K - **Expected RAM Requirement:** 128GB DDR5 or higher - **Expected GPU Requirement:** 80GB VRAM minimum (e.g., NVIDIA H200, AMD MI400) ## Happy Learning! ❤