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: 798 Bytes
ce20bc6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | """
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"]
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