🚧 Configure Quantization¶
Quantization Algorithm¶
The default quantization algorithm used in MLC-LLM is grouping quantization method discussed in the papers The case for 4-bit precision: k-bit Inference Scaling Laws and LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.
Quantization Mode¶
In MLC-LLM we use a short code that indicates the quantization mode to use.
The format of the code is qAfB(_id)
, where A
represents the number
of bits for storing weights and B
represents the number of bits for storing activations.
The _id
is an integer identifier to distinguish different quantization algorithms (e.g. symmetric, non-symmetric, AWQ, etc).
Currently, available options are: q0f16
, q0f32
, q3f16_1
, q4f16_1
, q4f32_1
, and q4f16_awq
(not stable).
More details to come.