Model Card for Model ID
Conversion code
from transformers import (
AutoProcessor,
Llama4ForConditionalGeneration,
Llama4VisionConfig,
Llama4TextConfig,
Llama4Config,
)
import torch
torch.manual_seed(0)
model_id = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
torch_dtype = torch.bfloat16 # or torch.float32
intermediate_size_mlp = 64
config = Llama4Config.from_pretrained(
model_id,
text_config=Llama4TextConfig.from_pretrained(
model_id,
head_dim=8,
hidden_size=16,
intermediate_size=32,
intermediate_size_mlp=intermediate_size_mlp,
moe_layers=[0,1,2,3,4],
no_rope_layers=[1,1,1,0,1],
num_attention_heads=10,
num_experts_per_tok=1,
num_hidden_layers=5,
num_key_value_heads=2,
num_local_experts=4,
),
vision_config=Llama4VisionConfig.from_pretrained(
model_id,
hidden_size=16,
intermediate_size=intermediate_size_mlp,
num_attention_heads=4,
num_hidden_layers=2,
projector_input_dim=128,
projector_output_dim=128,
vision_output_dim=128,
),
)
model = Llama4ForConditionalGeneration(config).to(torch_dtype)
print(model.num_parameters()) # 6571696
processor = AutoProcessor.from_pretrained(model_id)
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