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gemma3-4B_1_split
Scale-or-Reason/gemma3-4B_1_split
gemma3-4B_1_split is a image-text-to-text model from Scale-or-Reason. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- Model type
- gemma3
- Access
- Public
- Created
- Nov 24, 2025
- Updated
- Nov 24, 2025
- SHA
- 51b2dbc8
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
<details><summary>See axolotl config</summary>
axolotl version: 0.12.2
base_model: /lustre/fswork/projects/rech/qwv/udv55np/Gemma/base/gemma-3-4b
datasets:
- path: /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking
ds_type: json
type: chat_template
field_messages: conversations
data_files:
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0007.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0009.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0005.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0006.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0014.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0010.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0012.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0008.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0001.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0002.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0013.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0015.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0004.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0011.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0000.jsonl
- /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0003.jsonl
shuffle_merged_datasets: false
shuffle_before_merging_datasets: true
dataset_prepared_path: /lustre/fswork/projects/rech/dgo/udv55np/dataset_gemma/Nemotron-Super-49B-v1_5/split_1
tokenizer_config: "/lustre/fswork/projects/rech/qwv/udv55np/Gemma/base/gemma-3-27b"
chat_template: gemma3
eot_tokens:
- "<end_of_turn>"
output_dir: /lustre/fswork/projects/rech/dgo/udv55np/ift/Nemotron-Super-49B-v1_5/gemma-3-4b/1
sequence_len: 16384
sample_packing: true
sample_packing_sequentially: true
curriculum_sampling: true
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 0.6
auto_resume_from_checkpoints: true
optimizer: adamw_torch_fused
lr_scheduler: warmup_stable_decay
learning_rate: 5e-6
lr_scheduler_kwargs:
num_decay_steps: 200
min_lr_ratio: 0.1
warmup_steps: 100
bf16: true
tf32: false
gradient_checkpointing: true
logging_steps: 10
flash_attention: true
evals_per_epoch: 0
saves_per_epoch: 1
save_total_limit: 20
save_only_model: true
dataset_processes: 32
dataloader_num_workers: 2
use_tensorboard: true
deepspeed: /lustre/fswork/projects/rech/qwv/udv55np/axolotl/zero3.json
lustre/fswork/projects/rech/dgo/udv55np/ift/Nemotron-Super-49B-v1_5/gemma-3-4b/1
This model was trained from scratch on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: warmup_stable_decay
- lr_scheduler_warmup_steps: 100
- training_steps: 3723
Training results
Framework versions
- Transformers 4.55.2
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.1
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- gemma3
- Created
- Nov 24, 2025
- Updated
- Nov 24, 2025