Gemma 2 on AWS Lambda with Llamafile
Google released Gemma 2 9B, a compact language model rivaling GPT-3.5. Mozilla's llamafile simplifies deploying models like LLaVA 1.5 and Mistral 7B Instruct, enhancing accessibility to powerful AI models across various systems.
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Google has released Gemma 2 9B, a compact open-source language model showing impressive performance similar to larger models like GPT-3.5. Mozilla's llamafile simplifies deploying Large or Small Language Models into a single executable file, making them more accessible. Justine Tunney combined llama.cpp with Cosmopolitan Libc to create llamafile, enabling AI model execution without Python on various operating systems and architectures. The project includes pre-built files for models like LLaVA 1.5 and Mistral 7B Instruct. Gemma 2 models can now run on llamafile, enhancing accessibility to powerful AI models. Deploying Gemma 2 on AWS Lambda using llamafile faced challenges due to Lambda's constraints, but optimizations improved performance. Despite Lambda's limitations, Gemma 2 9B Q2 model showed promising results within the 10GB container image constraint. Performance varied based on quantization levels and CPU configurations. Configuring llamafile with specific settings is crucial for optimal performance. The author encourages exploring AWS Lambda and llamafile for Small Language Models and welcomes feedback on the experience.
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