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 — Optimized Infinite Context Intelligence Orchestration | |
| Credits: deepRcurs Labs, @deeprcurs | |
| Author: Mzed Imamkh, @mzedimamkh | |
| Version: v0.1 POC | |
| Paradigma baru: Frontier quality at 1.58-bit with harness recursion. | |
| Snapshot-safe: all code <128MB, dependencies in .venv (excluded) | |
| """ | |
| __version__ = "0.1.0-poc" | |
| __author__ = "Mzed Imamkh @mzedimamkh" | |
| __lab__ = "deepRcurs Labs @deeprcurs" | |
| from .core.ternary_san import TernarySAN, BitLinear | |
| from .memory.turboquant import TurboQuant | |
| from .memory.em_llm import SurpriseSegmenter | |
| from .memory.reattention import ReAttention | |
| from .harness.rah import RecursiveAgentHarness | |
| from .edge.needle_mini import NeedleMini | |
| __all__ = ["TernarySAN", "BitLinear", "TurboQuant", "SurpriseSegmenter", "ReAttention", "RecursiveAgentHarness", "NeedleMini"] | |