Clean legacy artifact as safetensors
Browse files- README.md +32 -0
- config.json +12 -0
- model.safetensors +3 -0
README.md
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---
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library_name: safetensors
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tags:
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- mamba
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- sequence-model
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- strategy-game
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- 4x
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license: other
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---
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# 4x Mamba
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This is the legacy public 4X strategy-game Mamba checkpoint.
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The repository has been cleaned so the public artifact is weights-only:
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- `model.safetensors` - model weights only
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- `config.json` - minimal model/checkpoint metadata
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No optimizer state, scheduler state, training corpus, simulator source, AWS scripts, benchmark harness, or internal project files are included in the cleaned artifact.
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## Model
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- Architecture: legacy Mamba-style sequence model
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- Parameters: `27,648,512`
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- Original training metadata:
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- Global step: `47,500`
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- Epoch: `3`
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- Validation loss: `0.7532`
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- Validation accuracy: `0.8130`
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This is a research checkpoint trained around synthetic 4X strategy-game traces. It is not an official game integration.
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config.json
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{
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"architecture": "LegacyMambaModel",
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"format": "state_dict",
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"parameter_count": 27648512,
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"source_checkpoint": "legacy_public_hf_checkpoint",
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"training_metadata": {
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"epoch": 3,
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"global_step": 47500,
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"val_acc": 0.8129544417492206,
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"val_loss": 0.753193209497191
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b88dc52e39e230488264183c73a4d2ea22bed08dc7135ac734df952b5eb65d97
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size 110611296
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