serve/__init__.py

from collections import OrderedDict


# Arrange keys in display priority order (high --> low)
MODEL_ID_TO_NAME = OrderedDict(
    [
        (
            "llava-lvis4v-lrv+redux-lvis4v-lrv-resize-naive-dinosiglip-vit-so-14-384px-no-align+13b+stage-finetune+x7",
            "PrismaticVLM 13B - Chat",
        ),
        (
            "llava-lvis4v-lrv+redux-lvis4v-lrv-resize-naive-dinosiglip-vit-so-14-384px-no-align+7b+stage-finetune+x7",
            "PrismaticVLM 7B - Chat",
        ),
        (
            "llava-lvis4v-lrv+redux-lvis4v-lrv-resize-naive-dinosiglip-vit-so-14-384px-no-align-llama2pure+13b+stage-finetune+x7",
            "PrismaticVLM 13B",
        ),
        (
            "llava-lvis4v-lrv+redux-lvis4v-lrv-resize-naive-dinosiglip-vit-so-14-384px-no-align-llama2pure+7b+stage-finetune+x7",
            "PrismaticVLM 7B",
        ),
        (
            "redux-resize-naive-dinosiglip-vit-so-14-384px-no-align-llama2pure+13b+stage-finetune+x7",
            "PrismaticVLM 13B (Controlled)",
        ),
        (
            "redux-resize-naive-dinosiglip-vit-so-14-384px-no-align-llama2pure+7b+stage-finetune+x7",
            "PrismaticVLM 7B (Controlled)",
        ),
        ("llava-v1.5-13b", "LLaVA 1.5: 13B"),
        ("llava-v1.5-7b", "LLaVA 1.5: 7B"),
    ]
)

INTERACTION_MODES_MAP = OrderedDict(
    [
        ("Chat", "chat"),
        ("Captioning", "captioning"),
        ("Bounding Box Prediction", "bbox_pred"),
        ("Visual Question Answering", "vqa"),
        ("True/False Visual Question Answering", "true_false"),
    ]
)