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
File size: 896 Bytes
f9d2997 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | /*!
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)
}
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