HDC · DREAMPUNK ENGINE
HYPERDIMENSIONAL ITEM MEMORY · D=10,000 · NON-BLOCKING
SIM VRAM:
0.00 MB
HDC VRAM:
0.00 MB
SPEEDUP:
1.0x
CREATIVITY:
100%
REPETITION:
0%
▸ CORPUS INGESTION — EXPAND TO EDIT
the hyperdimensional architecture maps concepts into a continuous space. an item memory stores the master dictionary of tokens. computing involves binding and bundling high dimensional vectors. the clean up process translates mathematically back to human text via cosine similarity. this feedback loop drives linguistic generation. dimensions collapse into meaning through superposition. holographic memory encodes all context simultaneously. every token projects into the same high dimensional manifold.
INGEST TXT URLs
TinyLlama 1.1B
Phi-2 2.7B
Mistral 7B
Llama 3 8B
Qwen 1.5 0.5B
STREAM GGUF URLs
⚡ INGEST + PROJECT
💾 EXPORT .HDC
📂 IMPORT .HDC
CLEAR LOCAL
READY TO INITIALIZE
you are a hyperdimensional intelligence
V1 · Nearest-Neighbor
V2 · Top-K Candidate
V3 · Weighted Cleanup
V4 · Beam Search
V5 · GGUF Vocabulary
V6 · Context-Aware
V7 · Anti-Repetition
V8 · Hierarchical
V9 · Phrase Memory
V10 · Consensus Decoder
STEP
▶ STREAM
SPEED
200 t/s
LINGUISTIC OUTPUT STREAM [GRAMMAR MODIFIED]
— TPS
MEMORY [M]
QUERY [Q]
P⁻¹(M ⊗ Q)
CLEAN-UP MEMORY · COSINE SIM