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
| { | |
| "architectures": [ | |
| "BitNetForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_bitnet.BitNetConfig", | |
| "AutoModelForCausalLM": "modeling_bitnet.BitNetForCausalLM" | |
| }, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "hidden_act": "relu2", | |
| "hidden_size": 2560, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6912, | |
| "max_position_embeddings": 4096, | |
| "model_type": "bitnet", | |
| "rms_norm_eps": 1e-05, | |
| "num_attention_heads": 20, | |
| "num_hidden_layers": 30, | |
| "num_key_value_heads": 5, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": true, | |
| "torch_dtype": "bfloat16", | |
| "use_cache": true, | |
| "vocab_size": 128256, | |
| "quantization_config": { | |
| "quant_method": "bitnet", | |
| "linear_class": "autobitlinear", | |
| "quantization_mode": "offline" | |
| } | |
| } | |