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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
.ipynb_checkpoints/README-checkpoint.md ADDED
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+ ---
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+ library_name: transformers
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+ license: gemma
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+ base_model: google/gemma-3-4b-it
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - AlexHung29629/MerlynIfeEldridge2
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+ model-index:
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+ - name: model-out
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.14.0.dev0`
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+ ```yaml
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+ base_model: google/gemma-3-4b-it
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+ #hub_model_id: AlexHung29629/ModelMerlynIfeEldridge
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_glu_activation: true
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+ liger_layer_norm: true
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+ liger_fused_linear_cross_entropy: true
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+ liger_use_token_scaling: true
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ data_seed: 42
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+ seed: 42
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+ max_grad_norm: 1
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+
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+ bf16: true
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+ tf32: true
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+
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+ datasets:
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+ - path: AlexHung29629/MerlynIfeEldridge2
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+ type: input_output
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+
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+ sequence_len: 758
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+ sample_packing: false
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+ optimizer: sgd
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+ lr_scheduler: constant
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+ micro_batch_size: 13
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+ gradient_accumulation_steps: 1
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+ num_epochs: 16
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+ learning_rate: 1e-3
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+ warmup_ratio: 0
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+ #saves_per_epoch: 1
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+ use_tensorboard: true
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+ use_wandb: false
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+ save_strategy: "no"
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+
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+ ```
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+
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+ </details><br>
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+
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+ # model-out
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+
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+ This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) on the AlexHung29629/MerlynIfeEldridge2 dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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+ - train_batch_size: 13
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+ - eval_batch_size: 13
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.SGD and the args are:
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+ No additional optimizer arguments
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+ - lr_scheduler_type: constant
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+ - training_steps: 16
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.6
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+ - Pytorch 2.9.1+cu128
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2
.ipynb_checkpoints/debug-checkpoint.log ADDED
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+ [2026-01-25 09:34:01,866] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:10047] baseline 0.000GB ()
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+ [2026-01-25 09:34:01,867] [INFO] [axolotl.cli.config.load_cfg:259] [PID:10047] config:
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+ {
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+ "activation_offloading": false,
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+ "axolotl_config_path": "train.yml",
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+ "base_model": "google/gemma-3-4b-it",
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+ "base_model_config": "google/gemma-3-4b-it",
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+ "batch_size": 13,
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+ "bf16": true,
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+ "capabilities": {
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+ "bf16": true,
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+ "compute_capability": "sm_86",
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+ "fp8": false,
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+ "n_gpu": 1,
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+ "n_node": 1
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+ },
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+ "context_parallel_size": 1,
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+ "dataloader_num_workers": 1,
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+ "dataloader_pin_memory": true,
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+ "dataloader_prefetch_factor": 256,
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+ "dataset_num_proc": 9,
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+ "datasets": [
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+ {
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+ "message_property_mappings": {
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+ "content": "content",
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+ "role": "role"
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+ },
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+ "path": "AlexHung29629/MerlynIfeEldridge2",
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+ "trust_remote_code": false,
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+ "type": "input_output"
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+ }
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+ ],
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+ "ddp": false,
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+ "device": "cuda:0",
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+ "dion_rank_fraction": 1.0,
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+ "dion_rank_multiple_of": 1,
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+ "env_capabilities": {
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+ "torch_version": "2.9.1"
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+ },
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+ "eval_batch_size": 13,
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+ "eval_causal_lm_metrics": [
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+ "sacrebleu",
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+ "comet",
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+ "ter",
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+ "chrf"
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+ ],
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+ "eval_max_new_tokens": 128,
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+ "eval_table_size": 0,
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+ "experimental_skip_move_to_device": true,
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+ "fp16": false,
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+ "gradient_accumulation_steps": 1,
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+ "gradient_checkpointing": true,
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+ "gradient_checkpointing_kwargs": {
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+ "use_reentrant": false
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+ },
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+ "include_tkps": true,
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+ "is_multimodal": true,
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+ "learning_rate": 0.001,
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+ "liger_fused_linear_cross_entropy": true,
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+ "liger_glu_activation": true,
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+ "liger_layer_norm": true,
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+ "liger_rms_norm": true,
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+ "liger_rope": true,
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+ "liger_use_token_scaling": true,
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+ "lisa_layers_attribute": "model.layers",
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+ "load_best_model_at_end": false,
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+ "load_in_4bit": false,
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+ "load_in_8bit": false,
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+ "local_rank": 0,
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+ "lora_dropout": 0.0,
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+ "loraplus_lr_embedding": 1e-06,
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+ "lr_scheduler": "constant",
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+ "max_grad_norm": 1.0,
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+ "mean_resizing_embeddings": false,
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+ "micro_batch_size": 13,
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+ "model_config_type": "gemma3",
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+ "num_epochs": 16.0,
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+ "optimizer": "sgd",
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+ "otel_metrics_host": "localhost",
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+ "otel_metrics_port": 8000,
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+ "output_dir": "./model-out",
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+ "plugins": [
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+ "axolotl.integrations.liger.LigerPlugin"
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+ ],
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+ "pretrain_multipack_attn": true,
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+ "processor_config": "google/gemma-3-4b-it",
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+ "profiler_steps_start": 0,
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+ "qlora_sharded_model_loading": false,
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+ "ray_num_workers": 1,
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+ "resources_per_worker": {
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+ "GPU": 1
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+ },
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+ "sample_packing": false,
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+ "sample_packing_bin_size": 200,
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+ "sample_packing_group_size": 100000,
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+ "save_only_model": false,
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+ "save_safetensors": true,
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+ "save_strategy": "no",
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+ "seed": 42,
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+ "sequence_len": 758,
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+ "shuffle_before_merging_datasets": false,
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+ "shuffle_merged_datasets": true,
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+ "skip_prepare_dataset": false,
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+ "streaming_multipack_buffer_size": 10000,
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+ "strict": false,
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+ "tensor_parallel_size": 1,
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+ "tf32": true,
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+ "tiled_mlp_use_original_mlp": true,
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+ "tokenizer_config": "google/gemma-3-4b-it",
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+ "tokenizer_save_jinja_files": true,
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+ "torch_dtype": "torch.bfloat16",
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+ "train_on_inputs": false,
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+ "trl": {
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+ "log_completions": false,
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+ "mask_truncated_completions": false,
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+ "ref_model_mixup_alpha": 0.9,
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+ "ref_model_sync_steps": 64,
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+ "scale_rewards": true,
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+ "sync_ref_model": false,
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+ "use_vllm": false,
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+ "vllm_server_host": "0.0.0.0",
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+ "vllm_server_port": 8000
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+ },
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+ "use_otel_metrics": false,
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+ "use_ray": false,
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+ "use_tensorboard": true,
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+ "use_wandb": false,
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+ "val_set_size": 0.0,
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+ "vllm": {
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+ "device": "auto",
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+ "dtype": "auto",
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+ "gpu_memory_utilization": 0.9,
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+ "host": "0.0.0.0",
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+ "port": 8000
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+ },
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+ "warmup_ratio": 0.0,
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+ "weight_decay": 0.0,
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+ "world_size": 1
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+ }
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+ [2026-01-25 09:34:01,983] [DEBUG] [axolotl.loaders.utils.check_model_config:88] [PID:10047] Loaded image size: 896 from model config
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+ [2026-01-25 09:34:03,852] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:10047] EOS: 1 / <eos>
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+ [2026-01-25 09:34:03,853] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:10047] BOS: 2 / <bos>
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+ [2026-01-25 09:34:03,853] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:10047] PAD: 0 / <pad>
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+ [2026-01-25 09:34:03,853] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:10047] UNK: 3 / <unk>
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+ [2026-01-25 09:34:03,853] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:481] [PID:10047] Unable to find prepared dataset in last_run_prepared/79c123e6ef0babe72cf6db37825069f8
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+ [2026-01-25 09:34:03,854] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:10047] Loading raw datasets...
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+ [2026-01-25 09:34:03,854] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:10047] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
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+ [2026-01-25 09:34:08,929] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:10047] Loading dataset: AlexHung29629/MerlynIfeEldridge2 with base_type: input_output and prompt_style: None
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+ [2026-01-25 09:34:09,525] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:224] [PID:10047] min_input_len: 152
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+ [2026-01-25 09:34:09,526] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:226] [PID:10047] max_input_len: 676
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+
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+ [2026-01-25 09:34:10,159] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:417] [PID:10047] total_num_tokens: 4_827
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+ [2026-01-25 09:34:10,162] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:435] [PID:10047] `total_supervised_tokens: 43`
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+ [2026-01-25 09:34:10,162] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:533] [PID:10047] total_num_steps: 16
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+ [2026-01-25 09:34:10,163] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:10047] Maximum number of steps set at 16
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+ [2026-01-25 09:34:10,283] [DEBUG] [axolotl.train.setup_model_and_tokenizer:70] [PID:10047] loading tokenizer... google/gemma-3-4b-it
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+ [2026-01-25 09:34:12,371] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:285] [PID:10047] EOS: 1 / <eos>
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+ [2026-01-25 09:34:12,371] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:286] [PID:10047] BOS: 2 / <bos>
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+ [2026-01-25 09:34:12,371] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:287] [PID:10047] PAD: 0 / <pad>
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+ [2026-01-25 09:34:12,371] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:288] [PID:10047] UNK: 3 / <unk>
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+ [2026-01-25 09:34:23,539] [DEBUG] [axolotl.train.setup_model_and_tokenizer:82] [PID:10047] Loading model
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+ [2026-01-25 09:34:23,660] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:10047] Patched Trainer.evaluation_loop with nanmean loss calculation
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+ [2026-01-25 09:34:23,662] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:10047] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
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+ [2026-01-25 09:34:23,793] [INFO] [axolotl.integrations.liger.plugin.pre_model_load:98] [PID:10047] Applying LIGER to gemma3 with kwargs: {'rope': True, 'cross_entropy': None, 'fused_linear_cross_entropy': True, 'rms_norm': True, 'layer_norm': True, 'geglu': True}
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+
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+ [2026-01-25 09:34:32,161] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:10047] Memory usage after model load 0.000GB ()
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+ [2026-01-25 09:35:21,180] [INFO] [axolotl.train.save_initial_configs:417] [PID:10047] Pre-saving tokenizer to ./model-out...
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+ [2026-01-25 09:35:21,802] [INFO] [axolotl.train.save_initial_configs:422] [PID:10047] Pre-saving model config to ./model-out...
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+ [2026-01-25 09:35:21,809] [INFO] [axolotl.train.save_initial_configs:426] [PID:10047] Pre-saving processor to ./model-out...
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+ [2026-01-25 09:35:25,524] [INFO] [axolotl.train.execute_training:212] [PID:10047] Starting trainer...
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+ [2026-01-25 09:37:06,886] [INFO] [axolotl.train.save_trained_model:233] [PID:10047] Training completed! Saving trained model to ./model-out.
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+ [2026-01-25 09:37:19,416] [INFO] [axolotl.train.save_trained_model:351] [PID:10047] Model successfully saved to ./model-out
README.md ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: gemma
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+ base_model: google/gemma-3-4b-it
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+ tags:
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+ - generated_from_trainer
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+ datasets:
8
+ - AlexHung29629/MerlynIfeEldridge2
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+ model-index:
10
+ - name: model-out
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.14.0.dev0`
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+ ```yaml
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+ base_model: google/gemma-3-4b-it
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+ #hub_model_id: AlexHung29629/ModelMerlynIfeEldridge
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_glu_activation: true
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+ liger_layer_norm: true
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+ liger_fused_linear_cross_entropy: true
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+ liger_use_token_scaling: true
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ data_seed: 42
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+ seed: 42
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+ max_grad_norm: 1
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+
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+ bf16: true
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+ tf32: true
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+
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+ datasets:
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+ - path: AlexHung29629/MerlynIfeEldridge2
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+ type: input_output
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+
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+ sequence_len: 758
47
+ sample_packing: false
48
+ optimizer: sgd
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+ lr_scheduler: constant
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+ micro_batch_size: 13
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+ gradient_accumulation_steps: 1
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+ num_epochs: 16
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+ learning_rate: 1e-3
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+ warmup_ratio: 0
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+ #saves_per_epoch: 1
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+ use_tensorboard: true
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+ use_wandb: false
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+ save_strategy: "no"
59
+
60
+ ```
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+
62
+ </details><br>
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+
64
+ # model-out
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+
66
+ This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) on the AlexHung29629/MerlynIfeEldridge2 dataset.
67
+
68
+ ## Model description
69
+
70
+ More information needed
71
+
72
+ ## Intended uses & limitations
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+
74
+ More information needed
75
+
76
+ ## Training and evaluation data
77
+
78
+ More information needed
79
+
80
+ ## Training procedure
81
+
82
+ ### Training hyperparameters
83
+
84
+ The following hyperparameters were used during training:
85
+ - learning_rate: 0.001
86
+ - train_batch_size: 13
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+ - eval_batch_size: 13
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.SGD and the args are:
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+ No additional optimizer arguments
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+ - lr_scheduler_type: constant
92
+ - training_steps: 16
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+
94
+ ### Training results
95
+
96
+
97
+
98
+ ### Framework versions
99
+
100
+ - Transformers 4.57.6
101
+ - Pytorch 2.9.1+cu128
102
+ - Datasets 4.5.0
103
+ - Tokenizers 0.22.2
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<image_soft_token>": 262144
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+ }
chat_template.jinja ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {{ bos_token }}
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+ {%- if messages[0]['role'] == 'system' -%}
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+ {%- if messages[0]['content'] is string -%}
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+ {%- set first_user_prefix = messages[0]['content'] + '
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+
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+ ' -%}
7
+ {%- else -%}
8
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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+
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+ ' -%}
11
+ {%- endif -%}
12
+ {%- set loop_messages = messages[1:] -%}
13
+ {%- else -%}
14
+ {%- set first_user_prefix = "" -%}
15
+ {%- set loop_messages = messages -%}
16
+ {%- endif -%}
17
+ {%- for message in loop_messages -%}
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+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
19
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
20
+ {%- endif -%}
21
+ {%- if (message['role'] == 'assistant') -%}
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+ {%- set role = "model" -%}
23
+ {%- else -%}
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+ {%- set role = message['role'] -%}
25
+ {%- endif -%}
26
+ {{ '<start_of_turn>' + role + '
27
+ ' + (first_user_prefix if loop.first else "") }}
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+ {%- if message['content'] is string -%}
29
+ {{ message['content'] | trim }}
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+ {%- elif message['content'] is iterable -%}
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+ {%- for item in message['content'] -%}
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+ {%- if item['type'] == 'image' -%}
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+ {{ '<start_of_image>' }}
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+ {%- elif item['type'] == 'text' -%}
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+ {{ item['text'] | trim }}
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+ {%- endif -%}
37
+ {%- endfor -%}
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+ {%- else -%}
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+ {{ raise_exception("Invalid content type") }}
40
+ {%- endif -%}
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+ {{ '<end_of_turn>
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+ ' }}
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+ {%- endfor -%}
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+ {%- if add_generation_prompt -%}
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+ {{'<start_of_turn>model
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+ '}}
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+ {%- endif -%}
config.json ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Gemma3ForConditionalGeneration"
4
+ ],
5
+ "boi_token_index": 255999,
6
+ "bos_token_id": 2,
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+ "dtype": "bfloat16",
8
+ "eoi_token_index": 256000,
9
+ "eos_token_id": 1,
10
+ "image_token_index": 262144,
11
+ "initializer_range": 0.02,
12
+ "mm_tokens_per_image": 256,
13
+ "model_type": "gemma3",
14
+ "pad_token_id": 0,
15
+ "text_config": {
16
+ "_sliding_window_pattern": 6,
17
+ "attention_bias": false,
18
+ "attention_dropout": 0.0,
19
+ "attn_logit_softcapping": null,
20
+ "dtype": "bfloat16",
21
+ "final_logit_softcapping": null,
22
+ "head_dim": 256,
23
+ "hidden_activation": "gelu_pytorch_tanh",
24
+ "hidden_size": 2560,
25
+ "initializer_range": 0.02,
26
+ "intermediate_size": 10240,
27
+ "layer_types": [
28
+ "sliding_attention",
29
+ "sliding_attention",
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+ "sliding_attention",
31
+ "sliding_attention",
32
+ "sliding_attention",
33
+ "full_attention",
34
+ "sliding_attention",
35
+ "sliding_attention",
36
+ "sliding_attention",
37
+ "sliding_attention",
38
+ "sliding_attention",
39
+ "full_attention",
40
+ "sliding_attention",
41
+ "sliding_attention",
42
+ "sliding_attention",
43
+ "sliding_attention",
44
+ "sliding_attention",
45
+ "full_attention",
46
+ "sliding_attention",
47
+ "sliding_attention",
48
+ "sliding_attention",
49
+ "sliding_attention",
50
+ "sliding_attention",
51
+ "full_attention",
52
+ "sliding_attention",
53
+ "sliding_attention",
54
+ "sliding_attention",
55
+ "sliding_attention",
56
+ "sliding_attention",
57
+ "full_attention",
58
+ "sliding_attention",
59
+ "sliding_attention",
60
+ "sliding_attention",
61
+ "sliding_attention"
62
+ ],
63
+ "max_position_embeddings": 131072,
64
+ "model_type": "gemma3_text",
65
+ "num_attention_heads": 8,
66
+ "num_hidden_layers": 34,
67
+ "num_key_value_heads": 4,
68
+ "query_pre_attn_scalar": 256,
69
+ "rms_norm_eps": 1e-06,
70
+ "rope_local_base_freq": 10000.0,
71
+ "rope_scaling": {
72
+ "factor": 8.0,
73
+ "rope_type": "linear"
74
+ },
75
+ "rope_theta": 1000000.0,
76
+ "sliding_window": 1024,
77
+ "use_bidirectional_attention": false,
78
+ "use_cache": false,
79
+ "vocab_size": 262208
80
+ },
81
+ "transformers_version": "4.57.6",
82
+ "vision_config": {
83
+ "attention_dropout": 0.0,
84
+ "dtype": "bfloat16",
85
+ "hidden_act": "gelu_pytorch_tanh",
86
+ "hidden_size": 1152,
87
+ "image_size": 896,
88
+ "intermediate_size": 4304,
89
+ "layer_norm_eps": 1e-06,
90
+ "model_type": "siglip_vision_model",
91
+ "num_attention_heads": 16,
92
+ "num_channels": 3,
93
+ "num_hidden_layers": 27,
94
+ "patch_size": 14,
95
+ "vision_use_head": false
96
+ }
97
+ }
debug.log ADDED
@@ -0,0 +1,190 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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148
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149
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