[Model][Bugfix] Support TP for PixtralHF ViT (vllm-project#10405)

Signed-off-by: mgoin <[email protected]>

vllm/model_executor/models/pixtral.py

@@ -17,6 +17,7 @@
 
 from vllm.attention import AttentionMetadata
 from vllm.config import ModelConfig, VllmConfig
+from vllm.distributed import divide, get_tensor_model_parallel_world_size
 from vllm.inputs import (INPUT_REGISTRY, DecoderOnlyInputs, DummyData,
                          InputContext, token_inputs)
 from vllm.model_executor.layers.activation import get_act_and_mul_fn
@@ -843,17 +844,20 @@ def __init__(
 
         self.config = config
         assert not config.hidden_size % config.num_attention_heads
-        self.n_heads = config.num_attention_heads
+        self.total_num_heads = config.num_attention_heads
+        tp_size = get_tensor_model_parallel_world_size()
+        self.n_heads = divide(config.num_attention_heads, tp_size)
         self.head_dim = config.hidden_size // config.num_attention_heads
 
         self.qkv_proj = QKVParallelLinear(
             hidden_size=config.hidden_size,
             head_size=self.head_dim,
-            total_num_heads=self.n_heads,
+            total_num_heads=self.total_num_heads,
             bias=False,
             quant_config=quant_config,
             prefix=f"{prefix}.qkv_proj",
         )
+        assert self.total_num_heads * self.head_dim == config.hidden_size
         self.o_proj = RowParallelLinear(
             input_size=config.hidden_size,
             output_size=config.hidden_size,