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: 844 Bytes
41c1f46 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"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"
}
}
|