From e94b263bd6557dc54582bfc5ba74f0a631bd642d Mon Sep 17 00:00:00 2001
From: Isotr0py <mozf@mail2.sysu.edu.cn>
Date: Sun, 1 Mar 2026 03:22:41 +0800
Subject: [PATCH] [Chore] Cleanup BNB utilization dead code (#35620)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
---
 vllm/model_executor/layers/linear.py | 39 ----------------------------
 1 file changed, 39 deletions(-)

diff --git a/vllm/model_executor/layers/linear.py b/vllm/model_executor/layers/linear.py
index 7c228cc908..f0d06e179f 100644
--- a/vllm/model_executor/layers/linear.py
+++ b/vllm/model_executor/layers/linear.py
@@ -3,7 +3,6 @@
 
 import itertools
 from abc import abstractmethod
-from typing import Any
 
 import torch
 from torch.nn.parameter import Parameter, UninitializedParameter
@@ -133,44 +132,6 @@ def adjust_scalar_to_fused_array(
     return param_data[shard_id], loaded_weight
 
 
-# TODO(Isotr0py): We might need a more flexible structure to handle
-# bitsandbytes shard offsets.
-def left_shift_bitsandbytes_4bit_shard(
-    bnb_weight_attrs: dict[str, Any],
-) -> tuple[dict[str, Any], dict[str, Any]]:
-    """
-    Separate the BitsAndBytes 4-bit shard.
-
-    For example, given bnb weight attributes as below:
-    {
-        'bnb_shard_offsets': array([0, 4, 8, 16]),
-        'bnb_quant_state': {0: ..., 1: ..., 2: ...},
-    }
-
-    The function will return:
-    {
-        'bnb_shard_offsets': array([0, 4]),
-        'bnb_quant_state': {0: ...},
-    }
-    and
-    {
-        'bnb_shard_offsets': array([0, 4, 12]),
-        'bnb_quant_state': {0: ..., 1: ...},
-    }
-    """
-    shard_offsets = bnb_weight_attrs["bnb_shard_offsets"]
-    offset_l = shard_offsets[:2]
-    offset_r = shard_offsets[1:] - shard_offsets[1]
-    quant_state_l = {0: bnb_weight_attrs["bnb_quant_state"][0]}
-    quant_state_r = {
-        i - 1: bnb_weight_attrs["bnb_quant_state"][i]
-        for i in range(1, len(shard_offsets) - 1)
-    }
-    left = dict(bnb_shard_offsets=offset_l, bnb_quant_state=quant_state_l)
-    right = dict(bnb_shard_offsets=offset_r, bnb_quant_state=quant_state_r)
-    return left, right
-
-
 class LinearMethodBase(QuantizeMethodBase):
     """Base class for different (maybe quantized) linear methods."""