Model Card for Model ID
Conversion code
1from transformers import (
2 AutoProcessor,
3 Llama4ForConditionalGeneration,
4 Llama4VisionConfig,
5 Llama4TextConfig,
6 Llama4Config,
7)
8import torch
9
10torch.manual_seed(0)
11
12model_id = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
13torch_dtype = torch.bfloat16 # or torch.float32
14
15intermediate_size_mlp = 64
16config = Llama4Config.from_pretrained(
17 model_id,
18 text_config=Llama4TextConfig.from_pretrained(
19 model_id,
20 head_dim=8,
21 hidden_size=16,
22 intermediate_size=32,
23 intermediate_size_mlp=intermediate_size_mlp,
24 moe_layers=[0,1,2,3,4],
25 no_rope_layers=[1,1,1,0,1],
26 num_attention_heads=10,
27 num_experts_per_tok=1,
28 num_hidden_layers=5,
29 num_key_value_heads=2,
30 num_local_experts=4,
31 ),
32 vision_config=Llama4VisionConfig.from_pretrained(
33 model_id,
34 hidden_size=16,
35 intermediate_size=intermediate_size_mlp,
36 num_attention_heads=4,
37 num_hidden_layers=2,
38 projector_input_dim=128,
39 projector_output_dim=128,
40 vision_output_dim=128,
41 ),
42)
43
44model = Llama4ForConditionalGeneration(config).to(torch_dtype)
45print(model.num_parameters()) # 6571696
46
47processor = AutoProcessor.from_pretrained(model_id)
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