fairseq/examples/quant_noise/transformer_quantization_config.yaml

# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

# This file defines example configuration arguments for quantizing
# a transformer model with product quantization

# Number of Centroids for Product Quantization, by default 256 (byte-aligned)
n_centroids:
    Linear:
        key: in_features
        value: {"*": 256}
    Embedding:
        key: embedding_dim
        value: {"*": 256}

# Block Sizes for Product Quantization
# We suggest: 8 for FFN, 4 for ATTN, 4 for embedding projections, 8 for embeddings
block_sizes:
  Linear:
      key: fuzzy_name
      value: {fc: 8, attn: 4, emb: 4}
  Embedding:
      key: fuzzy_name
      value: {emb: 8}

# Layers to Quantize Sequentially
# We suggest: first FFN, then EMB, then ATTN
layers_to_quantize:
    - decoder\\.layers\\.\d+\\.fc[12]
    - decoder\\.embed_tokens\\.embeddings\\.[012]\\.[01]
    - decoder\\.layers\\.\d+\\.self_attn\\.(k_proj|v_proj|q_proj|out_proj)