Text Generation
Safetensors
Rust
RWKV
English
oicio-rs
ternary
matmul-free
cpu-only
1.58-bit
bitnet
bonsai
infinite-context
em-llm
reattention
recursive-agent-harness
rlm
rah
edge-ai
needle
hadamard
mlgru
mamba
liquid-neural-networks
turbovec
turboquant
t-mac
vec-lut
axon
consumer-hardware
better-quality
intelligence-density
Instructions to use deeprcurs/OICIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use deeprcurs/OICIO with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| /*! | |
| OICIO Rust — MatMul-Free CPU-Only | |
| Credits: deepRcurs Labs @deeprcurs / Mzed Imamkh @mzedimamkh | |
| Paradigma baru total: Tanpa MatMul, Tanpa GPU, Tanpa Python/CUDA | |
| Hanya Addition, Subtraction, Table Lookup, Hadamard Transform | |
| Emergent space via: | |
| - Ternary accumulation (associative memory) | |
| - MLGRU state evolution (temporal compression) | |
| - Hadamard thresholding (sparse coding) | |
| - LUT associative (Hopfield-like) | |
| - Liquid time-constants (inference-time adaptation) | |
| Snapshot-safe: Rust code <1MB, toolchain in .cargo (excluded), model in .cache (excluded) | |
| */ | |
| pub mod core; | |
| pub mod memory; | |
| pub mod harness; | |
| pub mod edge; | |
| pub mod training; | |
| pub const VERSION: &str = "0.6.0"; | |
| pub const AUTHOR: &str = "Mzed Imamkh @mzedimamkh"; | |
| pub const LAB: &str = "deepRcurs Labs @deeprcurs"; | |
| pub fn version() -> String { | |
| format!("OICIO v{} — {} / {} — MatMul-Free CPU-Only", VERSION, LAB, AUTHOR) | |
| } | |