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/training_log_here.json with huggingface_hub
Browse files
training_logs/github_actions/training_log_here.json
ADDED
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{
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"model": "6.8M ternary",
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"vocab_size": 1024,
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"dim": 256,
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"layers": 4,
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"steps": 50,
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"batch_size": 4,
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"seq_len": 256,
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"initial_loss": 6.948805332183838,
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"final_loss": 6.937704563140869,
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"loss_drop": 0.01110076904296875,
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"time_seconds": 23.393130779266357,
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"fp16_mb": 13.008331298828125,
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"ternary_mb": 1.2845727157592775,
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"compression": 10.1,
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"swap": "14GB (10+5) active",
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"ram": "1.9GB",
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"hardware": "Consumer hardware only, no data center",
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"method_correct": true,
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"credits": "deepRcurs Labs @deeprcurs / Mzed Imamkh @mzedimamkh"
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}
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