feat: support loading vision model by anhuong · Pull Request #451 · foundation-model-stack/fms-hf-tuning

anhuong · 2025-01-26T06:00:45Z

Description of the change

Related issue number

How to verify the PR

Was the PR tested

I have added >=1 unit test(s) for every new method I have added.
I have ensured all unit tests pass

Signed-off-by: Anh Uong <anh.uong@ibm.com>

github-actions · 2025-01-26T06:00:56Z

Thanks for making a pull request! 😃
One of the maintainers will review and advise on the next steps.

anhuong

Tested this code loading llama 3.2-11b vision model as well as llava 1.6-mistral-7b vision model and they both were able to be lora tuned successfully with dataset https://huggingface.co/datasets/HuggingFaceH4/llava-instruct-mix-vsft

Note that when loading llava model with FSDP, need to provide extra field fsdp_transformer_layer_cls_to_wrap: "LlamaDecoderLayer" for llava 1.5 and fsdp_transformer_layer_cls_to_wrap: "MistralDecoderLayer" for llava 1.6-mistral

Ran with configuration:

{
  "model_name_or_path": "llava-hf/llava-v1.6-mistral-7b-hf", 
  "training_data_path": "HuggingFaceH4/llava-instruct-mix-vsft",
  "output_dir": "/fmaas-integration-tests/tuning/output/anhuong/llava1.6-mistral-7b-vision_llava-dataset_lora",
  "num_train_epochs": 3.0,
  "per_device_train_batch_size": 4,
  "gradient_accumulation_steps": 1,
  "learning_rate": 1e-4,
  "response_template": "\n### Response:",       <--- FIX: this field is not used
  "dataset_text_field": "output",       <--- FIX: this field is not used
  "bf16": true,
  "torch_dtype": "bfloat16",
  "use_flash_attn": false,
  "remove_unused_columns": false,
  "dataset_kwargs": {"skip_prepare_dataset": true},
  "multimodal": true,
  "peft_method": "lora",
  "r": 8,
  "lora_dropout": 0.05,
  "lora_alpha": 16,
  "target_modules": ["all-linear"],
  "lora_post_process_for_vllm": true,
  "gradient_checkpointing": true,
  "text_field_name": "messages",
  "image_field_name": "images"
}

Signed-off-by: Anh Uong <anh.uong@ibm.com>

* Changes to support vlms Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Change in kwargs Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Restructure of VisionDataCollator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Usage of 2 handlers and modifying chat_template handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix fmt+lint Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor Fix for unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor error handling Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

Signed-off-by: Anh Uong <anh.uong@ibm.com>

- in transformers v4.49 output_dir is no longer required Signed-off-by: Anh Uong <anh.uong@ibm.com>

Signed-off-by: Anh Uong <anh.uong@ibm.com>

Abhishek-TAMU · 2025-03-01T04:17:36Z

@dushyantbehl PR for a fix : anhuong#5
More info here

* Changes to support vlms Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Change in kwargs Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Restructure of VisionDataCollator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Usage of 2 handlers and modifying chat_template handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix fmt+lint Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor Fix for unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor error handling Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Fix issues for granite vision preview model Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

Ssukriti · 2025-04-01T03:48:07Z

+                embedding_size - current_output_embeddings.weight.shape[0]
+            )
+
+            # Save current input embedding


unit test for this class would be great for this function

I can definitely add a test case, something like below (Below test case pass successfully). But I was wondering do we use bigger models for test as Llama vision model is a 11b model (meta-llama/Llama-3.2-11B-Vision-Instruct) and downloading and loading it every time in unit test run would take lot of time just for running this 1 test case. Any thoughts ?

def test_resize_llama_vision_model(): model = AutoModelForVision2Seq.from_pretrained(LLAMA_VISION_MODEL_NAME) processor = AutoProcessor.from_pretrained(LLAMA_VISION_MODEL_NAME) tokenizer = processor.tokenizer current_input_embeddings = model.get_input_embeddings() current_input_embeddings= copy.deepcopy(current_input_embeddings) current_output_embeddings = model.get_output_embeddings() current_output_embeddings = copy.deepcopy(current_output_embeddings) current_tokenizer_len = len(tokenizer.get_vocab()) resize_result = tokenizer_and_embedding_resize( special_tokens_dict={"unk_token": "<unk>"}, tokenizer=tokenizer, model=model, multiple_of=1 ) resized_input_embeddings = model.get_input_embeddings() resized_output_embeddings = model.get_output_embeddings() resized_tokenizer_len = len(tokenizer.get_vocab()) assert resized_tokenizer_len == current_tokenizer_len + 1 assert "<unk>" in tokenizer.get_vocab() assert resize_result["num_new_tokens"] == 1 # 2 new tokens were added: <unk> and <image> assert resized_output_embeddings.weight.shape[0] == current_output_embeddings.weight.shape[0] + 2 assert resized_input_embeddings.weight.shape[0] == current_input_embeddings.weight.shape[0] + 2

no we will have to find a dummy vision model for unit tests , or we ll have to create one ourselves with dummy files and trimmed down vocab and embeddings

unit test otherwise looks good to me. I didnt understand why 2 tokens are added though, if we add one UNK # 2 new tokens were added: <unk> and <image>. Does a new image token get added for every language token?

let us know in comment once you assess feasibility of unit test. We should ideally have unit tests for some vision model

unit test otherwise looks good to me. I didnt understand why 2 tokens are added though, if we add one UNK # 2 new tokens were added: and . Does a new image token get added for every language token?

<image> token is present in Llama vision tokenizer and tokens length: len(tokenizer) = 128257
But model.get_output_embeddings().weight.shape is torch.Size([128256, 4096]).

Hence whenspecial_tokens_dict just has <unk>, then num_new_tokens = num_new_tokens + embedding_size - len(tokenizer) makes embedding size = 128258 and hence model resizes from 128256 to 128258 (increase by 2) (as it takes additional <image> token also in calculation)

And hence, I resize and increase model input embeddings also by 2.

So basically ,
As mentioned above for Llama vision model from Hugging face (before any resizing):
len(tokenizer) == model.get_output_embeddings().weight.shape[0] + 1

AND

For Granite, Llava Vision model, (before any resizing)
len(tokenizer) == model.get_output_embeddings().weight.shape[0]

Regarding tiny vision model, I have saved tiny llama vision model which you can see in this commit along with passed unit test.

To save the Tiny Llama Vision model, the same config from the original Llama Vision model was used, with parameters such as hidden_size, num_hidden_layers, intermediate_size, and attention_heads reduced.

Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

dushyantbehl

Few comments and request to go through the merge again due to inconsistency in code post rebasing.

Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

dushyantbehl

Thanks @Abhishek-TAMU just last couple of minor changes requested and rest looks good to me.

Please check the DCO before we can merge it.

Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

dushyantbehl

Thanks a lot @Abhishek-TAMU for diligently fixing all review comments.

LGTM.

* install trl=0.13, deepspeed, update transformers * deps: install pillow, uninstall deepspeed * add multimodal flag, pass processor, add data collator * load dataset directly, pass processor, fix field * add generic data collator Signed-off-by: Anh Uong <anh.uong@ibm.com> * remove load_dataset since HF support added Signed-off-by: Anh Uong <anh.uong@ibm.com> * add fsdp config needed for llava models Signed-off-by: Anh Uong <anh.uong@ibm.com> * feat:Use of data handlers for Vision LM support (#4) * Changes to support vlms Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Change in kwargs Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Restructure of VisionDataCollator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Usage of 2 handlers and modifying chat_template handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix fmt+lint Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor Fix for unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor error handling Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * replace text_field_name for dataset_text_field and for image Signed-off-by: Anh Uong <anh.uong@ibm.com> * remove multimodal flag Signed-off-by: Anh Uong <anh.uong@ibm.com> * fix formatting, remove unused fields Signed-off-by: Anh Uong <anh.uong@ibm.com> * remove irrelevant unit test - in transformers v4.49 output_dir is no longer required Signed-off-by: Anh Uong <anh.uong@ibm.com> * revert data loading back Signed-off-by: Anh Uong <anh.uong@ibm.com> * fix:Support loading for Granite-3.2 Vision Model * Changes to support vlms Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Change in kwargs Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Restructure of VisionDataCollator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Usage of 2 handlers and modifying chat_template handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix fmt+lint Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor Fix for unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor error handling Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Fix issues for granite vision preview model Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * remove duplicate logger, fmt Signed-off-by: Anh Uong <anh.uong@ibm.com> * fix unbound var, refactor tokenizer Signed-off-by: Anh Uong <anh.uong@ibm.com> * changes from review comments Signed-off-by: Anh Uong <anh.uong@ibm.com> * fix embedding resize and errors Signed-off-by: Anh Uong <anh.uong@ibm.com> * add hack fix for vocab size for Mllama models Signed-off-by: Anh Uong <anh.uong@ibm.com> * add docs on vision model usage Signed-off-by: Anh Uong <anh.uong@ibm.com> * move llama vocab size, allow single image inputs Signed-off-by: Anh Uong <anh.uong@ibm.com> * linter fixes Signed-off-by: Anh Uong <anh.uong@ibm.com> * fix merge, add lora note Signed-off-by: Anh Uong <anh.uong@ibm.com> * docs: organize sections Signed-off-by: Anh Uong <anh.uong@ibm.com> * remove all dataset columns Signed-off-by: Anh Uong <anh.uong@ibm.com> * only take single image for granite models Signed-off-by: Anh Uong <anh.uong@ibm.com> * feat:Support Entire Vision dataset with Streaming (#6) * Changes to support vlms Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Change in kwargs Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Restructure of VisionDataCollator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Usage of 2 handlers and modifying chat_template handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix fmt+lint Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor Fix for unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor error handling Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Fix issues for granite vision preview model Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Transformers version for running Llama model successfully Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Changes when enabling streaming * Merge remote-tracking branch 'anh_vision_fms_hf_tuning/vision-model' into vision_support * Merge with main Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * modify apply_tokenizer_chat_template argument key Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * resolve features for iterable dataset Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Add applying processor in collator and PR changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Rename Handler Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Add config for dataset streaming via arguments Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Fix column removal Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Convert to RGB for LlavaProcessor and model LlavaForConditionalGeneration Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR CHANGES 1 Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Changes 2 Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Collator documentation Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Minor fix Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Resize input and output embeddings seperately for LLama vision model Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Documentation added Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Added processor to DataPreProcessor Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR change of adding vocab size Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Added llama vision model and unit test case Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Make Jinja template work Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Fix for preprocessor_config in checkpoint folder Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fmt fix Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Moving resizing out of if block Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Test case fix and merging with main Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Change 1 Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Change 2 Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Added test_vision_data_collator Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Comment change Signed-off-by: Abhishek <maurya.abhishek@ibm.com> --------- Signed-off-by: Anh Uong <anh.uong@ibm.com> Signed-off-by: Abhishek <maurya.abhishek@ibm.com> Co-authored-by: Abhishek Maurya <124327945+Abhishek-TAMU@users.noreply.github.com> Co-authored-by: Abhishek <maurya.abhishek@ibm.com>

anhuong added 7 commits December 23, 2024 16:06

install trl=0.13, deepspeed, update transformers

30326cd

deps: install pillow, uninstall deepspeed

e166e86

add multimodal flag, pass processor, add data collator

de15409

load dataset directly, pass processor, fix field

802405a

add generic data collator

95f62ca

Signed-off-by: Anh Uong <anh.uong@ibm.com>

merge changes from main

79e9ecd

Signed-off-by: Anh Uong <anh.uong@ibm.com>

remove load_dataset since HF support added

c1f8e5f

Signed-off-by: Anh Uong <anh.uong@ibm.com>

github-actions Bot added the feat label Jan 26, 2025

anhuong commented Jan 26, 2025

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anhuong added 3 commits February 12, 2025 11:12

add fsdp config needed for llava models

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Merge branch 'main' into vision-model

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merge changes from main

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feat:Use of data handlers for Vision LM support anhuong/fms-hf-tuning#4

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Abhishek-TAMU and others added 5 commits February 25, 2025 07:16

replace text_field_name for dataset_text_field and for image

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Signed-off-by: Anh Uong <anh.uong@ibm.com>

remove multimodal flag

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Signed-off-by: Anh Uong <anh.uong@ibm.com>

fix formatting, remove unused fields

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remove irrelevant unit test

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- in transformers v4.49 output_dir is no longer required Signed-off-by: Anh Uong <anh.uong@ibm.com>

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revert data loading back

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fix:Support for Granite-3.2 Vision Model anhuong/fms-hf-tuning#5

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PR change of adding vocab size

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Signed-off-by: Abhishek <maurya.abhishek@ibm.com>

Added llama vision model and unit test case

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Make Jinja template work

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Merge remote-tracking branch 'upstream/main' into vision-model

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Merge remote-tracking branch 'upstream/main' into vision-model

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Fix for preprocessor_config in checkpoint folder

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fmt fix

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Merge remote-tracking branch 'upstream/main' into vision-model

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build: Upgrade TRL version from 0.14 to 0.16 #527

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Moving resizing out of if block

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Merge remote-tracking branch 'upstream/main' into vision-model

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Merge remote-tracking branch 'upstream/main' into vision-model

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Merge remote-tracking branch 'upstream/main' into vision-model

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Test case fix and merging with main

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Added test_vision_data_collator

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willmj merged commit fa070a8 into foundation-model-stack:main Apr 16, 2025
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Akash-Nayak mentioned this pull request Jun 10, 2025

chore: Upgrade transformers, torch, and accelerate version #561

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anhuong commented Jan 26, 2025 •

edited by dushyantbehl

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Abhishek-TAMU commented Mar 1, 2025 •

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Abhishek-TAMU Apr 1, 2025 •

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Abhishek-TAMU Apr 2, 2025 •

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Abhishek-TAMU Apr 2, 2025 •

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