Mastering Local Machine Model Running: Abhishek Thakur's Guide
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Today on Abhishek Thakur's channel, he takes us on a thrilling ride through the world of running the llama V2 13 million parameter model on your very own local machine. But hold on tight, because this isn't just about Ubuntu - Abhishek shows us how to conquer this feat on Mac computers, including the powerful M1 and M2 models. The llama.cpp library, a daring port of Facebook's llama model in C++, opens up a world of possibilities on OS X, Linux, and Windows. With a user named The Block converting models to ggml format, the path to llama.cpp greatness becomes clear.
The journey begins with cloning the llama.cpp repository and adding llama_metal=1 before firing up the make command. A swift download of the model file using the wget command sets the stage for unleashing the power of the executable, offering a plethora of arguments for customization. By providing a prompt file with instructions, Abhishek showcases the model's lightning-fast response generation, setting the scene for a high-octane performance.
Transitioning to Ubuntu, the stakes are raised as Abhishek delves into enabling GPU usage with llama_cu, requiring a deft hand in setting up the conda environment. Running the model on a single GPU reveals its voracious appetite for video memory, consuming around 10 GB with lightning speed. As Abhishek contemplates bidding farewell to his ChatGPT subscription in favor of the local llama prowess, the stage is set for a thrilling conclusion. Buckle up, hit the like button, subscribe, and spread the word - because the llama V2 model is here to revolutionize your local machine experience.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Run LLAMA-v2 chat locally on Youtube
Viewer Reactions for Run LLAMA-v2 chat locally
Mention of fast speed and helpfulness of the video
Discussion on examples/server having a frontend and deploying it behind a REST API
Specific instructions for running a command at 4.44 in the video
Mention of missing window around 3:20 for downloading a file
Request for a tutorial on finetuning llama.cpp on a local machine
Explanation of cuBLAS and its relation to NVIDIA CUDA Technology
Error loading model with unknown combination and request for a fix
Inquiry about running llama cpp + llama 2 + huggingface chat
Question on maximizing GPU and CPU usage with llama CPP Python
Inquiry about .bin files containing model weights
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