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)
97 lines
2.1 KiB
Plaintext
97 lines
2.1 KiB
Plaintext
// isis memory bank — FlatBuffers schema
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// Supports f32/f16/i8 key quantization for production deployment
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namespace isis.fb;
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// Key quantization formats
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enum KeyFormat : byte {
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F32 = 0,
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F16 = 1,
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I8 = 2,
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}
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// Exact model identity — keys are ONLY valid for this exact config.
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table ModelId {
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model: string; // HuggingFace model name (e.g. "Qwen/Qwen2.5-0.5B")
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backend: string; // Inference backend (e.g. "onnx", "gguf", "transformers")
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quant: string; // Weight quantization (e.g. "f32", "f16", "q4_k_m")
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hidden_dim: uint32; // Hidden state dimension (e.g. 896)
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extraction: string; // Hidden state extraction point (e.g. "pre_mlp_layer23")
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}
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// A memory key stored in the chosen precision
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table KeyData {
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format: KeyFormat;
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// Exactly one of these is populated based on format
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f32_data: [float]; // dim × 4 bytes
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f16_data: [uint16]; // dim × 2 bytes (IEEE 754 half)
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i8_data: [int8]; // dim × 1 byte (scaled to [-127, 127])
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// Scale factor for i8 dequantization: real = i8 * scale
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i8_scale: float;
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}
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table SuppressEntry {
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token_id: uint32;
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bias: float;
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}
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table LogitBias {
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token_id: uint32;
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token: string;
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strength: float;
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suppress: [SuppressEntry];
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}
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table ContentKey {
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key: KeyData;
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token: string;
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position: int32;
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}
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table Episode {
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prompt: string;
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answer: string;
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alter: string;
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keys: [ContentKey];
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logit_biases: [LogitBias];
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strength: float;
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recall_count: uint32;
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created_at: float64;
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consolidated: bool;
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}
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table Alter {
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name: string;
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episodes: [Episode];
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}
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table Rule {
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instruction: string;
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priority: float;
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trigger: string;
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active: bool;
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}
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table Avoidance {
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pattern: string;
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reason: string;
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key: KeyData;
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suppress_token_ids: [uint32];
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strength: float;
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active: bool;
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}
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table MemoryBank {
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version: uint32;
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model_id: ModelId; // Exact model identity
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threshold: float;
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key_format: KeyFormat;
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alters: [Alter];
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rules: [Rule];
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avoidances: [Avoidance];
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}
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root_type MemoryBank;
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file_identifier "isis";
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file_extension "fb";
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