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 training_logs/github_actions/bonsai_100steps_log.json with huggingface_hub
Browse files
training_logs/github_actions/bonsai_100steps_log.json
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{
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"model": "6.8M ternary",
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"steps": 100,
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"initial_loss": 6.958588600158691,
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"final_loss": 6.934200763702393,
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"loss_drop": 0.024387836456298828,
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"time": 84.25658702850342,
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"swap": "14GB active"
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}
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