diff --git a/CONFIGURE.md b/CONFIGURE.md
new file mode 100644
index 00000000..413443b0
--- /dev/null
+++ b/CONFIGURE.md
@@ -0,0 +1,62 @@
+# 🌋 VM setup
+Image - Ubuntu Server 24.04 LTS - x64 Gen2
+Size - Standard_NC24ads_A100_v4 - 24 vcpus, 220 GiB memory
+Disk - 1TiB (P30) SSD
+
+# Configure command
+## Install nvidia driver (https://learn.microsoft.com/en-us/azure/virtual-machines/linux/n-series-driver-setup)
+```Shell
+sudo apt update && sudo apt install -y ubuntu-drivers-common
+sudo ubuntu-drivers install
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb
+sudo apt install -y ./cuda-keyring_1.1-1_all.deb
+sudo apt update
+sudo apt -y install cuda-toolkit-12-5
+sudo reboot
+```
+
+## Add env var (add below exports at the end of ~/.bashrc)
+```Shell
+vim ~/.bashrc 
+# export PATH="/usr/local/cuda-12.5/bin:$PATH"
+# export LD_LIBRARY_PATH="/usr/local/cuda-12.5/lib64:$LD_LIBRARY_PATH"
+```
+
+## Install miniconda (https://docs.anaconda.com/miniconda/)
+```Shell
+mkdir -p ~/miniconda3
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
+bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3
+rm ~/miniconda3/miniconda.sh
+~/miniconda3/bin/conda init bash
+~/miniconda3/bin/conda init zsh
+bash
+```
+
+## Clone repo
+```Shell
+git clone https://github.com/gpminsuk/LLaVA-NeXT llava-next
+cd llava
+```
+
+## Configure conda and install requirements (https://medium.com/@prayto001/how-to-train-your-own-vision-large-language-model-37e3ff82b0b7)
+```Shell
+conda create -n llava-next python=3.10 -y
+conda activate llava-next
+pip install --upgrade pip  # enable PEP 660 support
+pip install -e .
+pip install -e ".[train]"
+pip install flash-attn --no-build-isolation
+```
+
+## Download training data for MLP
+```Shell
+sudo apt install unzip
+mkdir blip_laion
+cd blip_laion
+wget -O images.zip "https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain/resolve/main/images.zip?download=true"
+unzip images.zip
+rm images.zip
+cd ..
+wget -O blip_laion_cc_sbu_558k.json "https://huggingface.co/datasets/liuhaotian/LLaVA-Pretrain/resolve/main/blip_laion_cc_sbu_558k.json?download=true"
+```
\ No newline at end of file
diff --git a/README.md b/README.md
index 8111151a..06204986 100755
--- a/README.md
+++ b/README.md
@@ -91,6 +91,8 @@ cd LLaVA-NeXT
 ```
 
 #### 2. **Install the inference package:**
+Note: Linux environment is recommended. Some packages may not be available in mac os. 
+
 ```bash
 conda create -n llava python=3.10 -y
 conda activate llava
@@ -146,6 +148,14 @@ Checkout the HTTP Post/Get and SRT usage at [sglang/examples/runtime/llava_onevi
     bash examples/usage/llava_video/srt_example_llava_v.sh K K-1 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO
     ```
 
+## FastAPI Server
+
+If you wish to run just the server, run the following commands. (TODO: some package versions may conflict with dependencies for training. Resolve)
+
+```sh
+pip install -e ".[api]"
+fastapi dev vessl.py
+```
 
 ## Citation
 
diff --git a/inference.py b/inference.py
new file mode 100644
index 00000000..c387a520
--- /dev/null
+++ b/inference.py
@@ -0,0 +1,298 @@
+from huggingface_hub import hf_hub_download
+from PIL import Image
+from torchvision import transforms
+from llava.model.builder import load_pretrained_model
+from llava.constants import (
+    IGNORE_INDEX,
+    IMAGE_TOKEN_INDEX,
+    DEFAULT_IMAGE_TOKEN,
+    DEFAULT_IM_START_TOKEN,
+    DEFAULT_IM_END_TOKEN,
+)
+from llava.mm_utils import (
+    process_images,
+    tokenizer_image_token,
+    get_model_name_from_path,
+)
+from llava.conversation import conv_templates, SeparatorStyle
+import re
+import torch
+import torch.nn as nn
+import tflite_runtime.interpreter as tflite
+
+from transformers import AutoTokenizer, CLIPImageProcessor, Qwen2ForCausalLM
+from llava.model.language_model.llava_qwen import LlavaQwenConfig, LlavaQwenForCausalLM
+from llava.model.multimodal_encoder.mobilenetv2_encoder import MobileNetV2VisionTower
+import os
+import numpy as np
+from torchvision.utils import save_image
+from decord import VideoReader, cpu
+
+# torch.set_printoptions(threshold=1000000)
+
+# Lora model path or Full model path
+model_path = "mikarbx/llava-next-mobilenetv2"
+# Base model path if model_path is lora-based, otherwise None
+# base_model_path = "lmsys/vicuna-13b-v1.5"
+base_model_path = None
+
+# Query
+question = "Please provide a detailed description of the video, focusing on the main subjects, their actions, the background scenes."
+# Change this to True or False
+use_image = False
+
+# Generation parameters
+temperature = 0
+top_p=None
+num_beams=1
+max_new_tokens=512
+
+def load_model(model_path, config):
+    def build_vision_projector(projector_type, mm_hidden_size, hidden_size):
+        if projector_type == 'linear':
+            return nn.Linear(mm_hidden_size, hidden_size)
+
+        mlp_gelu_match = re.match(r'^mlp(\d+)x_gelu$', projector_type)
+        if mlp_gelu_match:
+            mlp_depth = int(mlp_gelu_match.group(1))
+            modules = [nn.Linear(mm_hidden_size, hidden_size)]
+            for _ in range(1, mlp_depth):
+                modules.append(nn.GELU())
+                modules.append(nn.Linear(hidden_size, hidden_size))
+            return nn.Sequential(*modules)
+
+        if projector_type == 'identity':
+            return IdentityMap()
+
+        raise ValueError(f'Unknown projector type: {projector_type}')
+
+    print('Build projector...')
+    mm_projector = build_vision_projector(
+        getattr(config, "mm_projector_type", None),
+        getattr(config, "mm_hidden_size", None),
+        getattr(config, "hidden_size", None),
+    ).to(dtype=torch.float16).cuda()
+
+    print('Load mlp adapter...')
+    full_model = LlavaQwenForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation="flash_attention_2", config=config).to(dtype=torch.float16)
+    mlp_projector_weights = {k[19:]: v for k, v in full_model.state_dict().items() if k.startswith('model.mm_projector.')}
+    mm_projector.load_state_dict(mlp_projector_weights, strict=False)
+
+    # print('Load lora trainables...')
+    # non_lora_trainables = torch.load(os.path.join(model_path, 'non_lora_trainables.bin'), map_location=image_embeddings.device)
+    # non_lora_trainables = {(k[17:] if k.startswith('base_model.model.') else k): v for k, v in non_lora_trainables.items()}
+
+    # print('Split and load projector trainables...')
+    # mm_projector_trainables = {(k[19:] if k.startswith('model.mm_projector.') else k): v for k, v in non_lora_trainables.items()}
+    # mm_projector.load_state_dict(mm_projector_trainables, strict=False)
+
+    print('Loading Base LLM...')
+    model = Qwen2ForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation="flash_attention_2", config=config).to(dtype=torch.float16).cuda()
+    tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+    print('Model is loaded...')
+
+    return tokenizer, model, mm_projector
+
+def run_inference(image_embeddings, prompt, config, tokenizer, model, mm_projector):
+    split_sizes = [image_embeddings.shape[0]]
+
+    # Project image embeddings to LLM compatiable embeddings
+    image_features = mm_projector(image_embeddings)
+    image_features = torch.split(image_features, split_sizes)
+    new_image_features = []
+    for _, image_feature in enumerate(image_features):
+        new_image_features.append(image_feature.flatten(0, 1))
+    image_features = new_image_features
+
+    # Tokenize prompt
+    input_ids = (
+        tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt")
+        .unsqueeze(0)
+        .cuda()
+    )
+
+    # Convert image tag to image embedding, embed non-image tokens and combine into one embeddings
+    ### Copied from prepare_inputs_labels_for_multimodal in llava/model/llava_arch.py ###
+    attention_mask = torch.ones_like(input_ids, dtype=torch.bool)
+    position_ids = torch.arange(0, input_ids.shape[1], dtype=torch.long, device=input_ids.device)
+    labels = torch.full_like(input_ids, IGNORE_INDEX)
+    new_input_embeds = []
+    new_labels = []
+    cur_image_idx = 0
+    for batch_idx, cur_input_ids in enumerate(input_ids):
+        num_images = (cur_input_ids == IMAGE_TOKEN_INDEX).sum()
+        if num_images == 0:
+            cur_image_features = image_features[cur_image_idx]
+            cur_input_embeds_1 = model.model.embed_tokens(cur_input_ids)
+            cur_input_embeds = torch.cat([cur_input_embeds_1, cur_image_features[0:0]], dim=0)
+            new_input_embeds.append(cur_input_embeds)
+            new_labels.append(labels[batch_idx])
+            cur_image_idx += 1
+            continue
+
+        image_token_indices = [-1] + torch.where(cur_input_ids == IMAGE_TOKEN_INDEX)[0].tolist() + [cur_input_ids.shape[0]]
+        cur_input_ids_noim = []
+        cur_labels = labels[batch_idx]
+        cur_labels_noim = []
+        for i in range(len(image_token_indices) - 1):
+            cur_input_ids_noim.append(cur_input_ids[image_token_indices[i] + 1 : image_token_indices[i + 1]])
+            cur_labels_noim.append(cur_labels[image_token_indices[i] + 1 : image_token_indices[i + 1]])
+        split_sizes = [x.shape[0] for x in cur_labels_noim]
+        cur_input_embeds = model.model.embed_tokens(torch.cat(cur_input_ids_noim))
+        cur_input_embeds_no_im = torch.split(cur_input_embeds, split_sizes, dim=0)
+        cur_new_input_embeds = []
+        cur_new_labels = []
+
+        for i in range(num_images + 1):
+            cur_new_input_embeds.append(cur_input_embeds_no_im[i])
+            cur_new_labels.append(cur_labels_noim[i])
+            if i < num_images:
+                try:
+                    cur_image_features = image_features[cur_image_idx]
+                except IndexError:
+                    cur_image_features = image_features[cur_image_idx - 1]
+                cur_image_idx += 1
+                cur_new_input_embeds.append(cur_image_features)
+                cur_new_labels.append(torch.full((cur_image_features.shape[0],), IGNORE_INDEX, device=cur_labels.device, dtype=cur_labels.dtype))
+
+        cur_new_input_embeds = [x.to(image_embeddings.device) for x in cur_new_input_embeds]
+
+        cur_new_input_embeds = torch.cat(cur_new_input_embeds)
+        cur_new_labels = torch.cat(cur_new_labels)
+
+        new_input_embeds.append(cur_new_input_embeds)
+        new_labels.append(cur_new_labels)
+
+    # Truncate sequences to max length as image embeddings can make the sequence longer
+    tokenizer_model_max_length = getattr(config, 'tokenizer_model_max_length', None)
+    if tokenizer_model_max_length is not None:
+        new_input_embeds = [x[:tokenizer_model_max_length] for x in new_input_embeds]
+        new_labels = [x[:tokenizer_model_max_length] for x in new_labels]
+
+    # Combine them
+    max_len = max(x.shape[0] for x in new_input_embeds)
+    batch_size = len(new_input_embeds)
+
+    new_input_embeds_padded = []
+    new_labels_padded = torch.full((batch_size, max_len), IGNORE_INDEX, dtype=new_labels[0].dtype, device=new_labels[0].device)
+    attention_mask = torch.zeros((batch_size, max_len), dtype=attention_mask.dtype, device=attention_mask.device)
+    position_ids = torch.zeros((batch_size, max_len), dtype=position_ids.dtype, device=position_ids.device)
+
+    for i, (cur_new_embed, cur_new_labels) in enumerate(zip(new_input_embeds, new_labels)):
+        cur_len = cur_new_embed.shape[0]
+        if getattr(config, "tokenizer_padding_side", "right") == "left":
+            new_input_embeds_padded.append(torch.cat((torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device), cur_new_embed), dim=0))
+            if cur_len > 0:
+                new_labels_padded[i, -cur_len:] = cur_new_labels
+                attention_mask[i, -cur_len:] = True
+                position_ids[i, -cur_len:] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device)
+        else:
+            new_input_embeds_padded.append(torch.cat((cur_new_embed, torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device)), dim=0))
+            if cur_len > 0:
+                new_labels_padded[i, :cur_len] = cur_new_labels
+                attention_mask[i, :cur_len] = True
+                position_ids[i, :cur_len] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device)
+
+    new_input_embeds = torch.stack(new_input_embeds_padded, dim=0).detach()
+    attention_mask = attention_mask.to(dtype=torch.long)
+    ###
+
+    # Generate answer
+    output_data = model.generate(
+        position_ids=None,
+        attention_mask=attention_mask,
+        inputs_embeds=new_input_embeds,
+        do_sample=True if temperature > 0 else False,
+        temperature=temperature,
+        top_p=top_p,
+        num_beams=num_beams,
+        use_cache=True,
+    )
+
+    print(output_data.shape)
+
+    # Decode answer
+    outputs = tokenizer.batch_decode(output_data, skip_special_tokens=True)[0].strip()
+
+    return prompt, outputs
+
+if __name__ == "__main__":
+    cfg_pretrained = LlavaQwenConfig.from_pretrained(model_path)
+
+    if not use_image:
+        import json
+        with open("./test.json") as f:
+            data = json.load(f)
+        hex_strings = data['embeddings']
+        embeddings = []
+        for hex_string in hex_strings:
+            byte_array = bytes.fromhex(hex_string)
+            import struct
+            num_floats = len(byte_array) // 4
+            embeddings.append(torch.tensor(struct.unpack('<' + 'f' * num_floats, byte_array), dtype=torch.float16).unsqueeze(0))
+        #image_embeddings = torch.stack([torch.tensor(struct.unpack('<' + 'f' * num_floats, byte_array), dtype=torch.float16).unsqueeze(0)]).to(dtype=torch.float16).cuda()
+        image_embeddings = torch.stack(embeddings).cuda()
+    else:
+        # image_path = "./blip_laion/00000/000000030.jpg"
+        # 
+        # def encode_image(vision_tower, image_path):
+        #     encoder = MobileNetV2VisionTower(vision_tower)
+        # 
+        #     image = Image.open(image_path).convert("RGB")
+        #     image = encoder.image_processor([image], return_tensors='pt')['pixel_values']
+        #    
+        #     save_image(image[0], "./image.jpg")
+        #
+        #     return encoder.process_single_image(image.to(dtype=torch.float16))
+        #
+        # print('Encode image...')
+        # image_embeddings = encode_image(
+        #     getattr(cfg_pretrained, "mm_vision_tower", None),
+        #     image_path,
+        # )
+
+        video_path = "./playground/demo/xU25MMA2N4aVtYay.mp4"
+
+        def encode_video(video_path, for_get_frames_num):
+            vr = VideoReader(video_path, ctx=cpu(0), num_threads=1)
+            total_frame_num = len(vr)
+            video_time = total_frame_num / vr.get_avg_fps()
+            fps = round(vr.get_avg_fps())
+            frame_idx = [i for i in range(0, len(vr), fps)]
+            frame_time = [i/fps for i in frame_idx]
+            if len(frame_idx) > for_get_frames_num:
+                sample_fps = for_get_frames_num
+                uniform_sampled_frames = np.linspace(0, total_frame_num - 1, sample_fps, dtype=int)
+                frame_idx = uniform_sampled_frames.tolist()
+                frame_time = [i/vr.get_avg_fps() for i in frame_idx]
+            frame_time = ",".join([f"{i:.2f}s" for i in frame_time])
+            spare_frames = vr.get_batch(frame_idx).asnumpy()
+            # import pdb;pdb.set_trace()
+
+            return spare_frames,frame_time,video_time
+
+        encoder = MobileNetV2VisionTower(getattr(cfg_pretrained, "mm_vision_tower", None))
+
+        video, frame_time, video_time = encode_video(video_path, 32)
+        video = encoder.image_processor.preprocess(video, return_tensors="pt")["pixel_values"].half()
+        image_embeddings = encoder.process_single_image(video.to(dtype=torch.float16)).cuda()
+
+    conv_mode = "qwen_2"
+
+    print(f'Conversation template {conv_mode} is used...')
+    conv = conv_templates[conv_mode].copy()
+
+    # Combine question with image
+    conv.append_message(conv.roles[0], DEFAULT_IMAGE_TOKEN + "\n" + question)
+    conv.append_message(conv.roles[1], None)
+    prompt = conv.get_prompt()
+    
+    tokenizer, model, mm_projector = load_model(model_path, cfg_pretrained)
+
+    prompt, outputs = run_inference(image_embeddings, prompt, cfg_pretrained, tokenizer, model, mm_projector)
+
+    print("PROMPT:")
+    print(prompt)
+    print("ANSWER:")
+    print(outputs)
\ No newline at end of file
diff --git a/llava/model/llava_arch.py b/llava/model/llava_arch.py
index 4549593b..f1fc5fba 100755
--- a/llava/model/llava_arch.py
+++ b/llava/model/llava_arch.py
@@ -283,7 +283,7 @@ def prepare_inputs_labels_for_multimodal(self, input_ids, position_ids, attentio
             encoded_image_features = torch.split(encoded_image_features, split_sizes)
             image_features = []
             for idx, image_feat in enumerate(encoded_image_features):
-                if idx in video_idx_in_batch:
+                if idx in video_idx_in_batch and self.config.mm_spatial_pool_stride is not None and self.config.mm_spatial_pool_stride > 1:
                     image_features.append(self.get_2dPool(image_feat))
                 else:
                     image_features.append(image_feat)
diff --git a/llava/model/multimodal_encoder/builder.py b/llava/model/multimodal_encoder/builder.py
index 69d9f10b..ae2ec483 100755
--- a/llava/model/multimodal_encoder/builder.py
+++ b/llava/model/multimodal_encoder/builder.py
@@ -5,6 +5,7 @@
 from .hf_vision import HFVisionTower
 from .siglip_encoder import SigLipVisionTower
 from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2
+from .mobilenetv2_encoder import MobileNetV2VisionTower
 
 # from .eva_clip.eva_clip_encoder import EvaClipVisionTower
 # from .dev_eva_clip.eva_vit import EvaViTWrapper
@@ -31,5 +32,7 @@ def build_vision_tower(vision_tower_cfg, **kwargs):
     #     return EvaClipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
     # elif vision_tower in ["EVA-CLIP-8B", "EVA-CLIP-8B-plus"]:
     #     return EvaViTWrapper(vision_tower, args=vision_tower_cfg, **kwargs)
+    elif vision_tower.startswith("mikarbx"):
+        return MobileNetV2VisionTower(vision_tower)
 
     raise ValueError(f"Unknown vision tower: {vision_tower}")
diff --git a/llava/model/multimodal_encoder/mobilenetv2_encoder.py b/llava/model/multimodal_encoder/mobilenetv2_encoder.py
new file mode 100644
index 00000000..253e959c
--- /dev/null
+++ b/llava/model/multimodal_encoder/mobilenetv2_encoder.py
@@ -0,0 +1,141 @@
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import numpy as np
+import tflite_runtime.interpreter as tflite
+from huggingface_hub import hf_hub_download
+from PIL import Image
+from torchvision import transforms
+
+from transformers import CLIPImageProcessor
+
+
+class MobileNetV2VisionTower(nn.Module):
+    def __init__(self, vision_tower):
+        super().__init__()
+
+        self.is_loaded = False
+
+        self.vision_tower_name = vision_tower
+
+        # self._patch_size = 12
+        self._patch_size = 1
+        self._image_size = 224
+
+        self.load_model()
+
+        # self._output_size = 36 * 36
+        self._output_size = self.output_details[0]["shape"][-1]
+
+    def load_model(self, device_map=None):
+        if self.is_loaded:
+            print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name))
+            return
+
+        self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name)
+        self.vision_tower = tflite.Interpreter(model_path=hf_hub_download(repo_id=self.vision_tower_name, filename=f"mobilenet_v2_0.35_{self._image_size}_without_classification_head_int8_float32.tflite", force_download=True))
+        self.vision_tower.allocate_tensors()
+
+        self.input_details = self.vision_tower.get_input_details()
+        self.output_details = self.vision_tower.get_output_details()
+
+        self.is_loaded = True
+
+    def save_images(self, tensor_batch, save_path):
+        # Loop through the batch and save each image
+        for i in range(tensor_batch.shape[0]):  # Iterate over the batch (32 images)
+            image_tensor = tensor_batch[i]
+
+            # Convert the tensor from (C, H, W) to (H, W, C)
+            image_np = image_tensor.permute(1, 2, 0).numpy()
+
+            # Scale the values from [0, 1] (PyTorch format) to [0, 255] for saving
+            image_np = (image_np * 255).astype(np.uint8)
+
+            # Convert the NumPy array to a PIL Image
+            image_pil = Image.fromarray(image_np)
+
+            # Save the image as a PNG file
+            image_pil.save(f"{save_path}/image_{i}.png")
+
+    @torch.no_grad()
+    def forward(self, images):
+        if isinstance(images, list):
+            return [self.process_single_image(image) for image in images]
+        else:
+            return self.process_single_image(images)
+
+    def process_single_image(self, image):
+        # import pdb
+        # pdb.set_trace()
+
+        # Ensure correct dtype and move to CPU if needed
+        original_type = image.dtype
+        if original_type == torch.bfloat16 or original_type == torch.float16:
+            image = image.to(torch.float32)
+        if image.is_cuda:
+            image = image.cpu()
+
+        image = torch.clamp(image * 255, 0, 255).to(torch.uint8)
+
+        # test if images are prepared correctly
+        # self.save_images(image, './test_images')
+
+        image = image.permute(0, 2, 3, 1)  # Convert from NCHW to NHWC format
+        image_numpy = image.numpy()
+
+        # Accumulate output tensors for batch processing
+        output_list = [self.run_inference_on_single_image(image_numpy[i : i + 1]) for i in range(image_numpy.shape[0])]
+
+        output_batch_tensor = torch.cat(output_list, dim=0)
+
+        # Test code
+        # image_tensor = image[0].unsqueeze(0)
+        # image_tensor = (image_tensor * 255).to(torch.uint8)
+        # image_tensor = image_tensor.to(torch.float32) / 255.0
+        # import io
+        # from torchvision import transforms
+        # pil_image = transforms.ToPILImage()(image_tensor.permute(0, 3, 1, 2).squeeze(0))
+        # byte_array = io.BytesIO()
+        # pil_image.save(byte_array, format='PNG')
+        # byte_array = byte_array.getvalue()
+        # import base64
+        # base64_string = base64.b64encode(byte_array).decode('utf-8')
+        # print(base64_string)
+        # self.vision_tower.set_tensor(self.input_details[0]['index'], image_tensor)
+        # self.vision_tower.invoke()
+        # output_data = self.vision_tower.get_tensor(self.output_details[0]['index'])
+        # print(torch.tensor(output_data).unsqueeze(1))
+
+        # Ensure correct dtype and move to GPU if needed
+        output_batch_tensor = output_batch_tensor.to(original_type)
+        if torch.cuda.is_available():
+            output_batch_tensor = output_batch_tensor.to("cuda")
+        return output_batch_tensor
+
+    def run_inference_on_single_image(self, single_image):
+        """Run TFLite inference on a single image and return the output tensor."""
+        # Set the input tensor, invoke the vision_tower, and get the output tensor
+        self.vision_tower.set_tensor(self.input_details[0]["index"], single_image)
+        self.vision_tower.invoke()
+        output_data = self.vision_tower.get_tensor(self.output_details[0]["index"])
+
+        # Convert to PyTorch tensor and add batch dimension
+        return torch.tensor(output_data).unsqueeze(1)
+
+    @property
+    def hidden_size(self):
+        # Get output size from TFLite model details
+        return int(self._output_size)
+
+    @property
+    def config(self):
+        return None
+
+    @property
+    def num_patches_per_side(self):
+        return self._patch_size
+
+    @property
+    def image_size(self):
+        return self._image_size
diff --git a/pyproject.toml b/pyproject.toml
index 348e3d9d..04d859d7 100755
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -59,6 +59,12 @@ train = [
     "decord",
     "tyro",
     "scipy",
+    "tflite-runtime",
+]
+
+api = [
+    "fastapi[standard]",
+    "torch[standard]"
 ]
 
 [project.urls]
diff --git a/scripts/train/finetune_onevision.sh b/scripts/train/finetune_onevision.sh
index 2e7c16a3..79a56d90 100644
--- a/scripts/train/finetune_onevision.sh
+++ b/scripts/train/finetune_onevision.sh
@@ -4,18 +4,25 @@ export NCCL_IB_GID_INDEX=3
 export NCCL_SOCKET_IFNAME=eth0
 export NCCL_DEBUG=INFO
 
-LLM_VERSION="Qwen/Qwen2-7B-Instruct" 
+export RANK=0
+export PORT=29401
+export NNODES=1
+export NUM_GPUS=4
+export ADDR=0.0.0.0
+
+LLM_VERSION="Qwen/Qwen2-1.5B-Instruct"
 # for 7b model we recommend bs=1, accum=2, 16 nodes, 128 gpus, lr=1e-5, warmup=0.03
 # for 72b model we recommend bs=1, accum=1, 32 nodes, 256 gpus, lr=1e-5, warmup=0.03
 LLM_VERSION_CLEAN="${LLM_VERSION//\//_}"
-VISION_MODEL_VERSION="google/siglip-so400m-patch14-384"
+VISION_MODEL_VERSION="mikarbx/mobilenetv2"
 VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
 
 ############### Pretrain ################
 
-PROMPT_VERSION="qwen_1_5"
+PROMPT_VERSION="qwen_2"
 
 BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain"
+MID_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain-mid-patch1"
 echo "BASE_RUN_NAME: ${BASE_RUN_NAME}"
 
 CKPT_PATH=$LLM_VERSION # this could also be the previous stage checkpoint
@@ -25,11 +32,11 @@ ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NN
     --deepspeed scripts/zero3.json \
     --model_name_or_path ${CKPT_PATH} \
     --version ${PROMPT_VERSION} \
-    --data_path ./onevision_data.yaml \
-    --image_folder ./onevision_data/images \
-    --video_folder ./onevision_data/videos \
-    --pretrain_mm_mlp_adapter="/checkpoints/projectors/${BASE_RUN_NAME}/mm_projector.bin" \
-    --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \
+    --data_path /home/azureuser/llava-next/scripts/train/gobi.yaml \
+    --image_folder /home/azureuser/data/images \
+    --video_folder /home/azureuser/data/videos \
+    --pretrain_mm_mlp_adapter="/home/azureuser/llava-next/checkpoints/projectors/${BASE_RUN_NAME}/mm_projector.bin" \
+    --mm_tunable_parts="mm_mlp_adapter,mm_language_model" \
     --mm_vision_tower_lr=2e-6 \
     --vision_tower ${VISION_MODEL_VERSION} \
     --mm_projector_type mlp2x_gelu \
@@ -42,7 +49,7 @@ ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NN
     --mm_patch_merge_type spatial_unpad \
     --bf16 True \
     --run_name $MID_RUN_NAME \
-    --output_dir "/checkpoints/${MID_RUN_NAME}" \
+    --output_dir /home/azureuser/llava-next/checkpoints/${MID_RUN_NAME} \
     --num_train_epochs 1 \
     --per_device_train_batch_size 1 \
     --per_device_eval_batch_size 4 \
diff --git a/scripts/train/gobi.yaml b/scripts/train/gobi.yaml
new file mode 100644
index 00000000..ef7cc175
--- /dev/null
+++ b/scripts/train/gobi.yaml
@@ -0,0 +1,15 @@
+datasets:
+  - json_path: /home/azureuser/data/LLaVA-NeXT-Data/llava_next_raw_format/llava_next_raw_format_processed.json
+    sampling_strategy: "all"
+  - json_path: /home/azureuser/data/LLaVA-ReCap-118K/data/data_cleaned.json
+    sampling_strategy: "all"
+  - json_path: /home/azureuser/data/LLaVA-ReCap-558K/data/data_cleaned.json
+    sampling_strategy: "all"
+  - json_path: /home/azureuser/data/LLaVA-ReCap-CC3M/data/data_cleaned.json
+    sampling_strategy: "all"
+  - json_path: /home/azureuser/data/ShareGPT4Video/llava_v1_5_mix665k_with_video_chatgpt72k_share4video28k_cleaned_cleaned.json
+    sampling_strategy: "all"
+  - json_path: /home/azureuser/data/ShareGPT4Video/sharegpt4video_mix181k_vqa-153k_share-cap-28k.json
+    sampling_strategy: "all"
+  # - json_path: /home/azureuser/data/ShareGPT4Video/sharegpt4video_40k.jsonl
+  #   sampling_strategy: "all"
\ No newline at end of file
diff --git a/scripts/train/pretrain_mobilenetv2.sh b/scripts/train/pretrain_mobilenetv2.sh
new file mode 100644
index 00000000..c7640950
--- /dev/null
+++ b/scripts/train/pretrain_mobilenetv2.sh
@@ -0,0 +1,61 @@
+export OMP_NUM_THREADS=8
+export NCCL_IB_DISABLE=0
+export NCCL_IB_GID_INDEX=3
+export NCCL_SOCKET_IFNAME=eth0
+export NCCL_DEBUG=INFO
+
+export RANK=0
+export PORT=29401
+export NNODES=1
+export NUM_GPUS=4
+export ADDR=0.0.0.0
+
+LLM_VERSION="Qwen/Qwen2-1.5B-Instruct"
+LLM_VERSION_CLEAN="${LLM_VERSION//\//_}"
+VISION_MODEL_VERSION="mikarbx/mobilenetv2"
+VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}"
+
+############### Pretrain ################
+
+PROMPT_VERSION="qwen_2"
+
+BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain-patch1"
+echo "BASE_RUN_NAME: ${BASE_RUN_NAME}"
+
+ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \
+    llava/train/train_mem.py \
+    --deepspeed scripts/zero3.json \
+    --model_name_or_path ${LLM_VERSION} \
+    --version ${PROMPT_VERSION} \
+    --data_path ~/data/LLaVA-Pretrain/blip_laion_cc_sbu_558k.json \
+    --image_folder ~/data/pretrain/ \
+    --vision_tower ${VISION_MODEL_VERSION} \
+    --mm_tunable_parts="mm_mlp_adapter" \
+    --mm_vision_select_layer -2 \
+    --mm_projector_type mlp2x_gelu \
+    --mm_use_im_start_end False \
+    --mm_use_im_patch_token False \
+    --bf16 True \
+    --output_dir /home/azureuser/llava-next/checkpoints/projectors/${BASE_RUN_NAME} \
+    --num_train_epochs 1 \
+    --per_device_train_batch_size 16 \
+    --per_device_eval_batch_size 4 \
+    --gradient_accumulation_steps 1 \
+    --evaluation_strategy "no" \
+    --save_strategy "no" \
+    --save_steps 50000 \
+    --learning_rate 1e-3 \
+    --weight_decay 0. \
+    --warmup_ratio 0.03 \
+    --lr_scheduler_type "cosine" \
+    --logging_steps 1 \
+    --tf32 True \
+    --model_max_length 8192 \
+    --gradient_checkpointing True \
+    --dataloader_num_workers 16 \
+    --lazy_preprocess True \
+    --report_to wandb \
+    --run_name $BASE_RUN_NAME \
+    --attn_implementation sdpa
+
+# You can delete the sdpa attn_implementation if you want to use flash attn
\ No newline at end of file
diff --git a/scripts/video/demo/video_demo.sh b/scripts/video/demo/video_demo.sh
index 17f24c95..08dcf6a0 100644
--- a/scripts/video/demo/video_demo.sh
+++ b/scripts/video/demo/video_demo.sh
@@ -1,5 +1,5 @@
 #!/bin/bash
-ROOT_DIR="/mnt/bn/vl-research/workspace/yhzhang/LLaVA-NeXT"
+ROOT_DIR="/home/azureuser/llava-next"
 
 if [ ! -e $ROOT_DIR ]; then
     echo "The root dir does not exist. Exiting the script."
diff --git a/test.json b/test.json
new file mode 100644
index 00000000..dd469616
--- /dev/null
+++ b/test.json
@@ -0,0 +1,11 @@
+{
+    "embeddings": [
+        "85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 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F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 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00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00 85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B 8A 0A 3F C1 C0 C0 3F C1 C0 40 3F C1 C0 40 3D C1 C0 C0 3D EB EA 6A 3F A9 A8 A8 3E C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3D FD FC FC 3E C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 00 00 00 00 C1 C0 C0 3D F1 F0 70 3E 00 00 00 00 85 84 84 3E 91 90 90 3D 82 81 01 40 88 87 87 3F C1 C0 40 3D 00 00 00 00 F1 F0 70 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 00 00 00 00 F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 A3 A2 22 3F 00 00 00 00 C1 C0 40 3D 00 00 00 00 A9 A8 28 3E AF AE AE 3F 00 00 00 00 00 00 00 00 FD FC FC 3E C1 C0 C0 3C 00 00 00 00 91 90 90 3D C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E C1 C0 40 3D 00 00 00 00 06 06 06 40 00 00 00 00 C1 C0 40 3E C4 C3 C3 3F 9D 9C 9C 3E D9 D8 D8 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 F1 F0 70 3E C1 C0 C0 3C 91 90 90 3D F1 F0 70 3E D9 D8 58 3E C1 C0 40 3D 00 00 00 00 B5 B4 B4 3E C1 C0 40 3D 91 90 90 3D 91 90 90 3D 00 00 00 00 FA F9 79 40 CD CC 4C 3F 00 00 00 00 91 90 90 3D C1 C0 40 3E CA C9 C9 3F 00 00 00 00 00 00 00 00 9D 9C 9C 3F A9 A8 28 3F C1 C0 C0 3C AF AE AE 3F FD FC FC 3E F1 F0 F0 3D C1 C0 C0 3C C1 C0 C0 3C 85 84 04 3F C1 C0 C0 3D 91 90 90 3D 91 90 90 3E 85 84 04 3F 00 00 00 00 85 84 04 3F B5 B4 B4 3E C1 C0 40 3D C1 C0 40 3D C1 C0 C0 3C 9D 9C 9C 3F DF DE 5E 3F A9 A8 28 3E 91 90 10 3E CD CC 4C 3F 91 90 90 3E 9A 99 99 3F C1 C0 40 3D D9 D8 D8 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C 91 90 90 3D 00 00 00 00 E5 E4 64 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 F1 F0 F0 3E 8B 8A 0A 3F F1 F0 70 3E 00 00 00 00",
+        "91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00 91 90 10 3F C1 C0 40 3F 91 90 10 3F C1 C0 C0 3C C1 C0 40 3E A9 A8 28 3E 91 90 10 3F 9D 9C 9C 3E 8B 8A 0A 3F 91 90 90 3D 00 00 00 00 91 90 90 3D DF DE 5E 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 C1 C0 C0 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D C1 C0 40 3D 00 00 00 00 C1 C0 C0 3C 00 00 00 00 C1 C0 40 3E 9D 9C 9C 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 E8 E7 E7 3F F1 F0 70 3E 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D 00 00 00 00 C1 C0 40 3E A9 A8 28 3E E5 E4 E4 3E BB BA 3A 3F 00 00 00 00 00 00 00 00 F1 F0 F0 3F 00 00 00 00 FD FC FC 3E D3 D2 52 3F 00 00 00 00 00 00 00 00 9A 99 99 3F 91 90 90 3D FD FC 7C 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 40 3D F1 F0 F0 3D 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 F1 F0 F0 3E 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D C1 C0 40 3E EE ED ED 3F 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 40 3F C1 C0 C0 3C D9 D8 58 3E 00 00 00 00 C1 C0 C0 3D AC AB AB 3F 00 00 00 00 EB EA 6A 3F E5 E4 64 3F 91 90 90 3D C1 C0 C0 3C 00 00 00 40 00 00 00 00 C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 8B 8A 8A 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 A9 A8 28 3F CD CC 4C 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 00 00 00 00 B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 B5 B4 34 3F 00 00 00 00 00 00 00 00 8E 8D 8D 3F 00 00 00 00 F1 F0 F0 3D 00 00 00 00 09 09 09 40 C1 C0 C0 3C F1 F0 70 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00 00 00 00",
+        "C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E D9 D8 58 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 A9 A8 A8 3E C1 C0 40 3D 00 00 00 00 F1 F0 F0 3D 00 00 00 00 D9 D8 58 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D CD CC 4C 3F C1 C0 C0 3C 00 00 00 00 00 00 00 00 AF AE 2E 3F 91 90 90 3E 00 00 00 00 91 90 90 3D 8B 8A 0A 3F 00 00 00 00 C1 C0 40 3E C1 C0 40 3E B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3E 91 90 10 3F FA F9 F9 3F 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C DF DE 5E 3F B5 B4 B4 3E A9 A8 28 3F A9 A8 28 3E C1 C0 40 3D D3 D2 52 3F A9 A8 28 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 94 93 93 3F 00 00 00 00 85 84 84 3E 00 00 00 00 FD FC FC 3E C1 C0 C0 3E 00 00 00 00 C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E D9 D8 58 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 A9 A8 A8 3E C1 C0 40 3D 00 00 00 00 F1 F0 F0 3D 00 00 00 00 D9 D8 58 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D CD CC 4C 3F C1 C0 C0 3C 00 00 00 00 00 00 00 00 AF AE 2E 3F 91 90 90 3E 00 00 00 00 91 90 90 3D 8B 8A 0A 3F 00 00 00 00 C1 C0 40 3E C1 C0 40 3E B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3E 91 90 10 3F FA F9 F9 3F 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C DF DE 5E 3F B5 B4 B4 3E A9 A8 28 3F A9 A8 28 3E C1 C0 40 3D D3 D2 52 3F A9 A8 28 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 94 93 93 3F 00 00 00 00 85 84 84 3E 00 00 00 00 FD FC FC 3E C1 C0 C0 3E 00 00 00 00 C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E D9 D8 58 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 A9 A8 A8 3E C1 C0 40 3D 00 00 00 00 F1 F0 F0 3D 00 00 00 00 D9 D8 58 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D CD CC 4C 3F C1 C0 C0 3C 00 00 00 00 00 00 00 00 AF AE 2E 3F 91 90 90 3E 00 00 00 00 91 90 90 3D 8B 8A 0A 3F 00 00 00 00 C1 C0 40 3E C1 C0 40 3E B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3E 91 90 10 3F FA F9 F9 3F 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C DF DE 5E 3F B5 B4 B4 3E A9 A8 28 3F A9 A8 28 3E C1 C0 40 3D D3 D2 52 3F A9 A8 28 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 94 93 93 3F 00 00 00 00 85 84 84 3E 00 00 00 00 FD FC FC 3E C1 C0 C0 3E 00 00 00 00 C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E D9 D8 58 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 A9 A8 A8 3E C1 C0 40 3D 00 00 00 00 F1 F0 F0 3D 00 00 00 00 D9 D8 58 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D CD CC 4C 3F C1 C0 C0 3C 00 00 00 00 00 00 00 00 AF AE 2E 3F 91 90 90 3E 00 00 00 00 91 90 90 3D 8B 8A 0A 3F 00 00 00 00 C1 C0 40 3E C1 C0 40 3E B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3E 91 90 10 3F FA F9 F9 3F 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C DF DE 5E 3F B5 B4 B4 3E A9 A8 28 3F A9 A8 28 3E C1 C0 40 3D D3 D2 52 3F A9 A8 28 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 94 93 93 3F 00 00 00 00 85 84 84 3E 00 00 00 00 FD FC FC 3E C1 C0 C0 3E 00 00 00 00 C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E 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C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 3E 00 00 00 00 91 90 10 3E C1 C0 C0 3D 00 00 00 00 C1 C0 40 3D 91 90 10 3E D9 D8 58 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 A9 A8 A8 3E C1 C0 40 3D 00 00 00 00 F1 F0 F0 3D 00 00 00 00 D9 D8 58 3E 00 00 00 00 00 00 00 00 C1 C0 40 3D CD CC 4C 3F C1 C0 C0 3C 00 00 00 00 00 00 00 00 AF AE 2E 3F 91 90 90 3E 00 00 00 00 91 90 90 3D 8B 8A 0A 3F 00 00 00 00 C1 C0 40 3E C1 C0 40 3E B5 B4 B4 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 85 84 84 3E 91 90 10 3F FA F9 F9 3F 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C DF DE 5E 3F B5 B4 B4 3E A9 A8 28 3F A9 A8 28 3E C1 C0 40 3D D3 D2 52 3F A9 A8 28 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 94 93 93 3F 00 00 00 00 85 84 84 3E 00 00 00 00 FD FC FC 3E C1 C0 C0 3E 00 00 00 00 C1 C0 C0 3D 00 00 00 00 8B 8A 0A 3F 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 C7 C6 C6 3F 9A 99 99 3F 00 00 00 00 C1 C0 40 3D 85 84 04 3F AF AE 2E 3F 00 00 00 00 00 00 00 00 30 30 30 40 00 00 00 00 BB BA 3A 3F 9D 9C 1C 3F 00 00 00 00 BB BA 3A 3F 00 00 00 00 FD FC FC 3E D9 D8 58 3E E5 E4 64 3F C1 C0 40 3D F7 F6 76 3F 9D 9C 1C 3F C1 C0 40 3D 00 00 00 00 00 00 00 00 00 00 00 00 FD FC FC 3E 00 00 00 00 D9 D8 58 3E C1 C0 C0 3D 00 00 00 00 91 90 10 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3D DC DB DB 3F 91 90 10 3E 00 00 00 00 9D 9C 9C 3E C1 C0 C0 3C AC AB AB 3F 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3E 9D 9C 1C 3F 00 00 00 00 00 00 00 00 B5 B4 B4 3E C1 C0 C0 3D 00 00 00 00 C1 C0 C0 3E 9D 9C 1C 3F F1 F0 F0 3D 00 00 00 00 00 00 00 00 C1 C0 C0 3D 91 90 10 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00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 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00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C C1 C0 C0 3D 00 00 00 00 00 00 00 00 49 48 48 40 91 90 90 3D 06 06 86 40 00 00 00 00 A9 A8 28 3E F1 F0 F0 3D 85 84 84 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 91 90 90 3D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 91 90 10 3E DF DE DE 3F 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C C1 C0 C0 3D 00 00 00 00 00 00 00 00 49 48 48 40 91 90 90 3D 06 06 86 40 00 00 00 00 A9 A8 28 3E F1 F0 F0 3D 85 84 84 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 91 90 90 3D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 91 90 10 3E DF DE DE 3F 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C C1 C0 C0 3D 00 00 00 00 00 00 00 00 49 48 48 40 91 90 90 3D 06 06 86 40 00 00 00 00 A9 A8 28 3E F1 F0 F0 3D 85 84 84 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 91 90 90 3D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 91 90 10 3E DF DE DE 3F 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C C1 C0 C0 3D 00 00 00 00 00 00 00 00 49 48 48 40 91 90 90 3D 06 06 86 40 00 00 00 00 A9 A8 28 3E F1 F0 F0 3D 85 84 84 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 91 90 90 3D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 91 90 10 3E DF DE DE 3F 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F 00 00 00 00 00 00 00 00 C1 C0 C0 3C C1 C0 C0 3D 00 00 00 00 00 00 00 00 49 48 48 40 91 90 90 3D 06 06 86 40 00 00 00 00 A9 A8 28 3E F1 F0 F0 3D 85 84 84 3E 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 91 90 90 3D 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 91 90 10 3E DF DE DE 3F 00 00 00 00 C1 C0 C0 3C C1 C0 40 3D 00 00 00 00 00 00 00 00 91 90 90 3D C1 C0 C0 3D 85 84 84 3E C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C A9 A8 28 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 D9 D8 58 3E 91 90 90 3E C1 C0 40 3F 00 00 00 00 00 00 00 00 EB EA 6A 3F 00 00 00 00 C1 C0 C0 3C 00 00 00 00 88 87 07 40 00 00 00 00 00 00 00 00 97 96 16 3F 00 00 00 00 A9 A8 28 3E 00 00 00 00 A0 9F 9F 3F 00 00 00 00 C1 C0 C0 3C 91 90 10 3E A9 A8 A8 3E 00 00 00 00 00 00 00 00 00 00 00 00 F1 F0 F0 3D C1 C0 C0 3C 00 00 00 00 E5 E4 E4 3F 00 00 00 00 00 00 00 00 91 90 90 3D 00 00 00 00 AF AE 2E 3F 9D 9C 9C 3E 8E 8D 8D 3F 00 00 00 00 91 90 90 3D 00 00 00 00 91 90 10 3E E5 E4 E4 3E 91 90 10 3E C1 C0 40 3E 00 00 00 00 C1 C0 40 3E C1 C0 40 3D A9 A8 28 3E 00 00 00 00 8B 8A 0A 3F 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3C 00 00 00 00 00 00 00 00 00 00 00 00 F7 F6 76 3F A0 9F 9F 3F A9 A8 28 3F C1 C0 40 3E 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 C0 3D FD FC FC 3E 00 00 00 00 00 00 00 00 00 00 00 00 C1 C0 40 3D 00 00 00 00 91 90 90 3E 00 00 00 00 C1 C0 C0 3C 00 00 00 00 D9 D8 D8 3F A9 A8 28 3F"
+    ],
+    "conversation":[
+        {"role":"user", "content":"<image>\nPlease provide a detailed description of the video, focusing on the main subjects, their actions, the background scenes."}
+    ]
+}
\ No newline at end of file
diff --git a/upload_huggingface.py b/upload_huggingface.py
new file mode 100644
index 00000000..896311cd
--- /dev/null
+++ b/upload_huggingface.py
@@ -0,0 +1,15 @@
+from huggingface_hub import upload_folder
+
+# Define your repository name on Hugging Face (it will be created if not existing)
+repo_id = "mikarbx/llava-next-mobilenetv2"
+
+# Path to your checkpoint folder
+checkpoint_dir = "/home/azureuser/llava-next/checkpoints/llavanext-mikarbx_mobilenetv2-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain-mid/checkpoint-33000"
+
+# Upload the checkpoint folder
+upload_folder(
+    folder_path=checkpoint_dir,
+    repo_id=repo_id,
+    commit_message="Initial checkpoint upload",
+    ignore_patterns=["global_step*", "*.py", "*.pt", "*.pth", "*.bin", "zero_to_fp32.py", "trainer_state.json"]
+)
diff --git a/vessl.py b/vessl.py
new file mode 100644
index 00000000..33068d5b
--- /dev/null
+++ b/vessl.py
@@ -0,0 +1,147 @@
+# Basic
+import os
+from pydantic import BaseModel
+from typing import List
+# FastAPI
+from fastapi import FastAPI, HTTPException, Depends, Header, Query
+from contextlib import asynccontextmanager
+# ML
+import torch
+from llava.conversation import Conversation, SeparatorStyle
+from llava.model.language_model.llava_qwen import LlavaQwenConfig, LlavaQwenForCausalLM
+from inference import load_model, run_inference
+
+class Message(BaseModel):
+    role: str
+    content: str
+
+class GenerateRequest(BaseModel):
+    embeddings: List[str] = None
+    vectors: List[List[float]] = None
+    conversation: List[Message]
+
+model_path = os.getenv(['MODEL_PATH'])
+if not model_path:
+    raise RuntimeError("MODEL_PATH environment variable not set. Set it by running `export MODEL_PATH='...'`")
+api_key = os.getenv('API_KEY')
+if not api_key:
+    raise RuntimeError("API_KEY environment variable not set. Set it by running `export API_KEY='...'`")
+
+config = None
+tokenizer = None
+model = None
+mm_projector = None
+
+async def verify_api_key(x_api_key: str = Header(...)):
+    if x_api_key != api_key:
+        raise HTTPException(status_code=401, detail="Invalid API Key")
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global config, tokenizer, model, mm_projector 
+    config = LlavaQwenConfig.from_pretrained(model_path)
+    tokenizer, model, mm_projector = load_model(model_path, config)
+    print("Model loaded successfully!")
+    yield
+
+app = FastAPI(lifespan=lifespan)
+
+"""
+Request:
+    Headers:
+        `x-api-key` (str)
+    Query Parameters:
+        `request_type` (str, optional): The type of request expected. Either `hexadecimal` (default) or `vectors`.
+    Body:
+        `embeddings` (List[str], optional): A list of hexadecimal embeddings.
+        `vectors` (List[List[float]], optional): A list of vectors.
+        `conversation` (List[Message]): A list of messages with role and content.
+Returns:
+    The result of the inference based on the provided embeddings or vectors and conversation.
+
+Examples:
+
+1. request_type == `embeddings`:
+```
+curl --location 'http://127.0.0.1:8000/generate?request_type=hexadecimal' \
+--header 'x-api-key;' \
+--data '{
+    "embeddings": [
+        "85 84 84 3F F1 F0 70 3F 91 90 10 3E D9 D8 D8 3E CD CC CC 3E C1 C0 C0 3C 8B",
+        "91 90 10 3F C1 C0 40 3F 91 90 10 40 C1 C0 C0 3C 91 90 10 3E 00 00 00 00 00"
+    ],
+    "conversation":[
+        {"role":"user", "content":"<image>\nPlease provide a detailed description of the video, focusing on the main subjects, their actions, the background scenes."}
+    ]
+}'
+```
+
+2. request_type == `vectors`:
+```
+curl --location 'http://127.0.0.1:8000/generate?request_type=vectors' \
+--header 'x-api-key: YOUR_API_KEY' \
+--data '{
+    "vectors": [
+        [ 1.0, 0.9, 0.1 ],
+        [ 0.5, 0.2, 0.0 ]
+    ],
+    "conversation":[
+        {"role":"user", "content":"<image>\nPlease provide a detailed description of the video, focusing on the main subjects, their actions, the background scenes."}
+    ]
+}'
+```
+"""
+@app.post("/generate")
+async def generate(
+    request: GenerateRequest,
+    request_type: str = Query(default="hexadecimal", enum=["hexadecimal", "vectors"]),
+    _: str = Depends(verify_api_key)):
+
+    embedding_tensors = []
+    if request_type == "hexadecimal":
+        if "embeddings" not in request.model_fields:
+            raise HTTPException(status_code=400, detail="request_type is `hexadecimal` but `embeddings` not found in request")
+        for embedding in request.embeddings:
+            byte_array = bytes.fromhex(embedding)
+            import struct
+            num_floats = len(byte_array) // 4
+            embedding_tensors.append(torch.tensor(struct.unpack('<' + 'f' * num_floats, byte_array), dtype=torch.float16).unsqueeze(0))
+    elif request_type == "vectors":
+        if "vectors" not in request.model_fields:
+            raise HTTPException(status_code=400, detail="request_type is `vectors` but `vectors` not found in request")
+        embedding_tensors = torch.tensor(request.vectors, dtype=torch.float16)
+    else:
+        raise HTTPException(status_code=400, detail="request_type needs to be hexadecimal or vectors")
+        
+    conversation = request.conversation
+    return await run_inference(embedding_tensors, conversation)
+
+async def run_inference(embedding_tensors, conversation):
+    embedding_tensors = torch.stack(embedding_tensors).cuda()
+    conv = Conversation(
+        system="""<|im_start|>system
+You are a helpful assistant.""",
+        roles=("<|im_start|>user", "<|im_start|>assistant"),
+        version="qwen",
+        messages=[],
+        offset=0,
+        sep_style=SeparatorStyle.CHATML,
+        sep="<|im_end|>",
+    )
+
+    for message in conversation:
+        if 'user' in message.role:
+            conv.append_message(conv.roles[0], message.content)
+        elif 'assistant' in message.role:
+            conv.append_message(conv.roles[1], message.content)
+        
+    conv.append_message(conv.roles[1], None)
+    prompt = conv.get_prompt()
+
+    prompt, outputs = run_inference(embedding_tensors, prompt, config, tokenizer, model, mm_projector)
+
+    return {
+        "prompt": prompt, 
+        "outputs": outputs
+    }
+
diff --git a/vessl.yaml b/vessl.yaml
new file mode 100644
index 00000000..7562a6bd
--- /dev/null
+++ b/vessl.yaml
@@ -0,0 +1,37 @@
+name: llava-next-server
+message: LLaVA Next Inference server
+resources:
+  cluster: vessl-gcp-oregon
+  preset: gpu-l4-medium-spot
+image: quay.io/vessl-ai/torch:2.3.1-cuda12.1-r5
+import:
+  /code/:
+    git:
+      url: github.com/gpminsuk/LLaVA-NeXT.git
+      ref: main
+run:
+  - workdir: /code
+    command: |-
+      pip install --upgrade pip  # enable PEP 660 support
+      pip install -e .
+      pip install -e ".[train]"
+      pip install flash-attn --no-build-isolation
+      pip install fastapi[standard] uvicorn
+      pip install fastapi-cli
+      fastapi run vessl.py
+ports:
+  - name: llava-next
+    type: http
+    port: 8000
+service:
+  autoscaling:
+    min: 1
+    max: 2
+    metric: cpu
+    target: 50
+  expose: 8000
+  monitoring:
+    - port: 8000
+      path: /metrics
+env:
+  MODEL_PATH: mikarbx/llava-next-mobilenetv2
\ No newline at end of file