fix: adjust ruff lints and small refactors

server/text_generation_server/models/custom_modeling/flash_llama_modeling.py

@@ -660,7 +660,7 @@ class FlashLlamaForCausalLM(torch.nn.Module):
         if embedding_multiplier is not None:
             self.embed_tokens.weight.data *= embedding_multiplier
 
-        prefix = "lm_head" if not prefix or name != "model" else f"{prefix}.lm_head"
+        prefix = "lm_head" if not prefix or name != "model" else f"{prefix}.{suffix}"
 
         with no_fp8(weights):
             self.lm_head = SpeculativeHead.load(

server/text_generation_server/models/custom_modeling/idefics3.py

@@ -19,7 +19,6 @@ from typing import List, Optional, Tuple
 import torch
 import torch.utils.checkpoint
 from torch import nn
-import math
 
 from transformers.activations import ACT2FN
 from text_generation_server.models.custom_modeling.vlm import (

server/text_generation_server/models/vlm_causal_lm.py

@@ -30,7 +30,7 @@ IDEFICS3_GLOBAL_IMG_TOKEN = "<global-img>"
 
 
 # copied from: https://github.com/huggingface/transformers/blob/02ed609285c2448b3b54c31e362f2c389fa952ab/src/transformers/models/idefics3/processing_idefics3.py#L44-L60
-def get_image_prompt_string(
+def _prompt_split_image(
     *,
     image_seq_len: int,
     image_rows: int,
@@ -97,7 +97,7 @@ def image_text_replacement(processor, image_input, config, image_id: int) -> str
             ((config.vision_config.image_size // config.vision_config.patch_size) ** 2)
             / (config.scale_factor**2)
         )
-        image_str = get_image_prompt_string(
+        image_str = _prompt_split_image(
             image_seq_len=image_seq_len,
             image_rows=n_rows,
             image_cols=n_cols,