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Bm v1

This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM.

Fuentehuggingface.co/Flex-Data/bm-v1/tree/d69db16a8a147ac0f36610d715537b9b8025d2d1
TipoOtherVersiónTrained modelBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
275 MB
Versión
vTrained model
Actualizado
31 oct 2026
Fuente
Hugging Face

Descripción de la fuente

Multimodal Classification Model (BM-v1)

This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM.

Model Details

  • Developed by: BeakerStreet
  • Model type: Multimodal Classification Model
  • Language(s): English
  • License: MIT

Uses

Predicts the likely moves a player will make from a complete sample space of all (observed) player moves, based on a provided screenshot and associated text. Can be fine-tuned to specifically predict types of move (scouting, build orders, settle/doesn't settle)

Direct Use

Predicts the likely moves a player will make, from a complete sample space of all player moves, based on a provided screenshot and associated text.

Fuentes

1 fuente
Hugging FacePrincipalVersión d69db16a8a147ac0f36610d715537b9b8025d2d1
huggingface.co/Flex-Data/bm-v1/tree/d69db16a8a147ac0f36610d715537b9b8025d2d1

Verificado 31 oct

Artefactos del modelo

1 artefacto

trained_model.h5

h5 · 275 MB · SHA-256 0ed2a535675c…3896 · Hugging Face

Download file

Extractos de fuentes

2 extractos
Readme15 agohuggingface.co/Flex-Data/bm-v1

--- language: - en thumbnail: null tags: - image-classification - multimodal - tensorflow license: mit datasets: - flex_civ_vi_screens pipeline_tag: audio-text-to-text library_name: tensorflow --- # Multimodal Classification Model (BM-v1) This model combines text and image inputs to predict player moves from in-game screenshots for the popular 4X Civilization VI. In use, screenshot inputs are provided and text inputs generated using an LLM. ## Model Details - **Developed by:** BeakerStreet - **Model type:** Multimodal Classification Model - **Language(s):** English - **License:** MIT ## Uses Predicts the likely moves a player will make from a complete sample space of all (observed) player moves, based on a provided screenshot and associated text. Can be fine-tuned to specifically predict types of move (scouting, build orders, settle/doesn't settle) ### Direct Use Predicts the likely moves a player will make, from a complete sample space of all player moves, based on a provided screenshot and associated text.

Note15 agohuggingface.co/Flex-Data/bm-v1

Source context: 0 downloads · 3 likes · Pipeline audio-text-to-text · Library tensorflow · Repo Flex-Data/bm-v1