ai-agents-model-inference-when-using-llama-4-scout-17b-16e-instruct-with-att-448e67ec

THEN Switch to attn_implementation='eager' in the from_pretrained call. Avoid flex_attention for now as it is experimental and likely to cause other issues. This resolves the padding error and allows text and image input generation to work.

# Instead of:
# model = Llama4ForConditionalGeneration.from_pretrained(model_id, attn_implementation="flex_attention", ...)
# Use:
model = Llama4ForConditionalGeneration.from_pretrained(
    model_id,
    attn_implementation="eager",
    device_map="auto",
    torch_dtype=torch.bfloat16
)