llama-3.2-11b-vision : size mismatch for encoder.clip.token_pos_embedding.global_token_positional_embedding

[openconcerto]

🐛 Describe the bug

From a clean install using the current main branch, llama-3.2-11b-vision seems to need some love.

The download of the model files from HugginFace succeded using :
python3 torchchat.py download llama-3.2-11b-vision

However, the usage attempt of the model returns the following error :

python3 torchchat.py generate  meta-llama/llama-3.2-11b-vision --image-prompts test.png --prompt "analyse"
Failed to load torchao experimental a8wxdq quantizer with error: [Errno 2] No such file or directory: 
/home/guillaume/test/torchchat/torchao-build/src/ao/torchao/experimental/quant_api.py
Using device=cpu Intel(R) Core(TM) i7-14700K
Loading model...
Time to load model: 0.10 seconds
Traceback (most recent call last):
  File "/home/guillaume/test/torchchat/torchchat.py", line 83, in <module>
    generate_main(args)
  File "/home/guillaume/test/torchchat/torchchat/generate.py", line 1093, in main
    gen = Generator(
  File "/home/guillaume/test/torchchat/torchchat/generate.py", line 284, in __init__
    self.model = _initialize_model(self.builder_args, self.quantize, self.tokenizer)
  File "/home/guillaume/test/torchchat/torchchat/cli/builder.py", line 562, in _initialize_model
    model = _load_model(builder_args)
  File "/home/guillaume/test/torchchat/torchchat/cli/builder.py", line 482, in _load_model
    model = _load_model_default(builder_args)
  File "/home/guillaume/test/torchchat/torchchat/cli/builder.py", line 405, in _load_model_default
    model.model.load_state_dict(state_dict, assign=True, strict=False)
  File "/home/guillaume/test/.venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 2568, in load_state_dict
    raise RuntimeError(
RuntimeError: Error(s) in loading state_dict for DeepFusionModel:
        size mismatch for encoder.clip.token_pos_embedding.local_token_positional_embedding: copying a param with shape torch.Size([1025, 1280]) from checkpoint, the shape in current model is torch.Size([1601, 1280]).
        size mismatch for encoder.clip.token_pos_embedding.global_token_positional_embedding: copying a param with shape torch.Size([4, 4, 1025, 1280]) from checkpoint, the shape in current model is torch.Size([4, 4, 1601, 1280])

Versions

python collect_env.py
Collecting environment information...
PyTorch version: 2.5.0.dev20240901+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 3.30.3
Libc version: glibc-2.35

Python version: 3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture : x86_64
Mode(s) opératoire(s) des processeurs : 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Boutisme : Little Endian
Processeur(s) : 28
Liste de processeur(s) en ligne : 0-27
Identifiant constructeur : GenuineIntel
Nom de modèle : Intel(R) Core(TM) i7-14700K
Famille de processeur : 6
Modèle : 183
Thread(s) par cœur : 2
Cœur(s) par socket : 20
Socket(s) : 1
Révision : 1
Vitesse maximale du processeur en MHz : 5600,0000
Vitesse minimale du processeur en MHz : 800,0000
BogoMIPS : 6835.20
Drapaux : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities
Virtualisation : VT-x
Cache L1d : 768 KiB (20 instances)
Cache L1i : 1 MiB (20 instances)
Cache L2 : 28 MiB (11 instances)
Cache L3 : 33 MiB (1 instance)
Nœud(s) NUMA : 1
Nœud NUMA 0 de processeur(s) : 0-27
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Mitigation; Clear Register File
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.5.0.dev20240901+cpu
[pip3] torchao==0.5.0
[pip3] torchtune==0.0.0
[pip3] torchvision==0.20.0.dev20240901+cpu
[conda] Could not collect

[Jack-Khuu]

Thanks for flagging, let me take a look

[Jack-Khuu]

Looks like there is some config mismatch between the two versions of 11B that's not being accounted for

• meta-llama/Llama-3.2-11B-Vision
• meta-llama/Llama-3.2-11B-Vision-Instruct

We'll look into getting this fixed for meta-llama/Llama-3.2-11B-Vision. In the meantime, we'd love for you to try meta-llama/Llama-3.2-11B-Vision-Instruct

[openconcerto]

I confirm that it works with Llama-3.2-11B-Vision.

It takes 53 minutes to answer the prompt on a PNG image of 2409x3435 pixels,
on my Intel 14700K with 128GB of RAM (no gpu).

[Jack-Khuu]

Thank for checking and sharing the numbers

We're working to get torch.compile up and running for 11B, so that'll speed things up when it's ready