Tommi Niemi
404df92ade
- paper.md: full paper (Tommi Niemi / Rotko Networks) - python/epimem.py: standalone Python reproduction - export_onnx.py: ONNX export from HuggingFace (generates model files) - results/memory_bank.json: example hidden-state vectors (896-dim) - schema/: FlatBuffer schemas for memory bank + organism - models/tokenizer/: Qwen 2.5 tokenizer files Run: pip install transformers torch && python python/epimem.py (Downloads Qwen 2.5 automatically from HuggingFace)
30 lines
668 B
JSON
30 lines
668 B
JSON
{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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