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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.

Sourcehuggingface.co/Flex-Data/bm-v1/tree/d69db16a8a147ac0f36610d715537b9b8025d2d1
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Model source

Kind
Other
File size
275 MB
Version
vTrained model
Updated
Oct 31, 2026
Source
Hugging Face

Source description

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.

Sources

1 source
Hugging FacePrimaryVersion d69db16a8a147ac0f36610d715537b9b8025d2d1
huggingface.co/Flex-Data/bm-v1/tree/d69db16a8a147ac0f36610d715537b9b8025d2d1

Verified Oct 31

Model artifacts

1 artifact

trained_model.h5

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

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Source excerpts

2 excerpts
ReadmeAug 15huggingface.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.

NoteAug 15huggingface.co/Flex-Data/bm-v1

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