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Hi,
I'd love to know about trends in different quantization methods supported by MLC For example (I made this up) ,
slowest-fastest: q0f32, q3f16_0, q4f16_0, q4f16_1, q4f32_1, q4f16_2, q4f16_autoawq least-most memory consumption: q0f32, q3f16_0, q4f16_0, q4f16_1, q4f32_1, q4f16_2, q4f16_autoawq response quality scoring (highest-lowest) : q0f32, q3f16_0, q4f16_0, q4f16_1, q4f32_1, q4f16_2, q4f16_autoawq
It'd be also really nice if there is existing benchmark results (of any model on any platform)
I'm particularly interested in Llama3.1-8B model on Jetson AGX orin hardware.
The text was updated successfully, but these errors were encountered:
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❓ General Questions
Hi,
I'd love to know about trends in different quantization methods supported by MLC
For example (I made this up) ,
It'd be also really nice if there is existing benchmark results (of any model on any platform)
I'm particularly interested in Llama3.1-8B model on Jetson AGX orin hardware.
The text was updated successfully, but these errors were encountered: