Overview of natively supported quantization schemes in 🤗 Transformers
What Happened
Overview of natively supported quantization schemes in 🤗 Transformers
Our Take
the fact that hugging face is finally normalizing quantization schemes is a small win, but don't get comfortable. it's just giving us a standardized set of options, which means the choice is now purely about engineering trade-offs, not just feature availability.
it's good that you don't have to write custom CUDA kernels just to load a 4-bit model, but that doesn't simplify the deployment headache. the actual overhead of loading and executing these quantized layers still needs careful profiling.
we're moving the complexity away from the implementation details and into the application layer, which is fine, but the underlying hardware constraints remain the choke point. it's a bandage over a broken system.
What To Do
treat the quantization support as a starting point, not a finish line; focus on measuring the performance degradation caused by the quantization. impact:medium
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