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
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README.md
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@@ -147,7 +147,7 @@ Based on BitNet Training Tips FAQ, Bonsai whitepaper, QLoRA, ZeRO-Offload, Axon:
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- **Tier 2 OICIO-Bonsai (Fine-tune Apache 2.0/MIT, allowed rebrand):** Load Bonsai 8B 1.75GB or BitNet 2B 1.1GB, fine-tune LoRA with domain data 10B-50B tokens on RTX 3060 12GB (hours-days). Legal to rebrand as OICIO, with lineage mention in whitepaper but product name OICIO. 90% of stack (EM-LLM+TurboQuant+ReAttention+RAH+Triton+Axon) is 100% OICIO.
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- **Tier 3 OICIO-
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## References
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- **Tier 2 OICIO-Bonsai (Fine-tune Apache 2.0/MIT, allowed rebrand):** Load Bonsai 8B 1.75GB or BitNet 2B 1.1GB, fine-tune LoRA with domain data 10B-50B tokens on RTX 3060 12GB (hours-days). Legal to rebrand as OICIO, with lineage mention in whitepaper but product name OICIO. 90% of stack (EM-LLM+TurboQuant+ReAttention+RAH+Triton+Axon) is 100% OICIO.
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- **Tier 3 OICIO-Alpha (100% from scratch, high-end consumer):** Train 1.7B 0.4GB or 8B 1.75GB from scratch with 400B-1T tokens on Mac Studio M2 Ultra 192GB ~20-30 days. True ownership, no attribution.
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## References
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