Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- Vi-VLM/Vista
+language:
+- vi
+---
+
+- Deploying Gradio: Going to MoE-LLaVA serving tutorial and follow, or quickly, can use 👇👇👇
+```bash
+deepspeed --include localhost:0 moellava/serve/gradio_web_server.py \
+    --model-path="tuanio/moe-llava-qwen1.5-0.5b-vista_reasoning-2ep"
+```
+
+Or CLI: 
+```bash
+deepspeed --include localhost:0 moellava/serve/cli.py \
+    --model-path "tuanio/moe-llava-qwen1.5-0.5b-vista_reasoning-2ep" \
+    --image-file "data/llm_data/coco2017/train2017/000000391895.jpg"
+```
+
+---
+
+- Training script:
+```bash
+moe_mode="sparse"
+num_experts=4
+top_k_experts=2
+use_residual=False
+router_aux_loss_coef=0.01
+
+ROOT_DATA=data/llm_data
+
+WANDB_PROJECT=chart-vision-llm CUDA_VISIBLE_DEVICES=0,1,2,3,4 deepspeed --include localhost:2,3,4 moellava/train/train_mem.py \
+    --moe_enable True --num_experts ${num_experts} --top_k_experts ${top_k_experts} --capacity_factor 1.5 \
+    --moe_mode ${moe_mode} --use_residual ${use_residual} --router_aux_loss_coef ${router_aux_loss_coef} \
+    --train_modules mlp.gate_proj mlp.up_proj mlp.down_proj wg \
+    --deepspeed ./scripts/zero2.json \
+    --model_name_or_path ./checkpoints/ft-llava-qwen1.5-0.5b-vista_llava-merged-2ep \
+    --version qwen \
+    --data_path $ROOT_DATA/json_files/vista_reasoning.json \
+    --image_folder $ROOT_DATA/coco2017/train2017 \
+    --image_tower google/siglip-base-patch16-256-multilingual \
+    --image_projector_type mlp2x_gelu \
+    --mm_vision_select_layer -2 \
+    --mm_use_im_start_end False \
+    --mm_use_im_patch_token False \
+    --image_aspect_ratio pad \
+    --group_by_modality_length True \
+    --bf16 True \
+    --output_dir ./checkpoints/ft-moe-llava-qwen1.5-0.5b-vista_reasoning-2ep \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 8 \
+    --per_device_eval_batch_size 4 \
+    --gradient_accumulation_steps 2 \
+    --evaluation_strategy "no" \
+    --save_strategy "steps" \
+    --save_steps 24000 \
+    --save_total_limit 1 \
+    --learning_rate 2e-5 \
+    --weight_decay 0. \
+    --warmup_ratio 0.03 \
+    --lr_scheduler_type "cosine" \
+    --logging_steps 50 \
+    --tf32 True \
+    --model_max_length 2048 \
+    --gradient_checkpointing True \
+    --dataloader_num_workers 8 \
+    --lazy_preprocess True \
+    --report_to wandb \
+    --cache_dir "./cache_dir" \
+    --run_name ft-moe-llava-qwen1.5-0.5b-vista_reasoning-2ep
+```