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
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -175,4 +175,4 @@ Apache 2.0 — for OICIO code (following Bonsai and Needle2). Model weights foll
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**Built in limited environment 1.9GB RAM + 14GB swap, consumer hardware only, no data center, no H100, no excuses, training from scratch HERE, Rust CPU-only, MatMul-free.**
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**OICIO =
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**Built in limited environment 1.9GB RAM + 14GB swap, consumer hardware only, no data center, no H100, no excuses, training from scratch HERE, Rust CPU-only, MatMul-free.**
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**OICIO = Optimized Infinite Context Intelligence Orchestration, MatMul-Free CPU-Only, Intelligence Density > Parameter Count.**
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