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: 570 Bytes
ce20bc6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"model": "6.8M ternary",
"vocab_size": 1024,
"dim": 256,
"layers": 4,
"steps": 50,
"batch_size": 4,
"seq_len": 256,
"initial_loss": 6.948805332183838,
"final_loss": 6.937704563140869,
"loss_drop": 0.01110076904296875,
"time_seconds": 23.393130779266357,
"fp16_mb": 13.008331298828125,
"ternary_mb": 1.2845727157592775,
"compression": 10.1,
"swap": "14GB (10+5) active",
"ram": "1.9GB",
"hardware": "Consumer hardware only, no data center",
"method_correct": true,
"credits": "deepRcurs Labs @deeprcurs / Mzed Imamkh @mzedimamkh"
} |