What is model quantization?
A technique that reduces the numerical precision of model weights (e.g. from 16-bit to 4-bit) to save memory.
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Only very small models. Large LLMs require significant RAM and GPU support, which exceeds Lambda limitations.
Docker packages the exact OS and library dependencies, preventing environment mismatches in cloud environments.
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