---
license: mit
tags:
  - bitnet
  - ternary
  - trillim
  - cpu-inference
base_model: 1bitLLM/bitnet_b1_58-large
---

# BitNet-Large-TRNQ

Ternary-quantized version of [1bitLLM/bitnet_b1_58-large](https://huggingface.co/1bitLLM/bitnet_b1_58-large), packaged for the [Trillim DarkNet](https://huggingface.co/Trillim) inference engine.

This model runs entirely on CPU — no GPU required.

## Model Details

| | |
|---|---|
| **Architecture** | BitNet (BitnetForCausalLM) |
| **Parameters** | ~700M |
| **Hidden size** | 1536 |
| **Layers** | 24 |
| **Attention heads** | 16 |
| **Context length** | 2048 |
| **Quantization** | Ternary ({-1, 0, 1}) |
| **Source model** | [1bitLLM/bitnet_b1_58-large](https://huggingface.co/1bitLLM/bitnet_b1_58-large) |
| **License** | MIT |

## Usage

```bash
pip install trillim
trillim pull Trillim/BitNet-Large-TRNQ
trillim serve Trillim/BitNet-Large-TRNQ
```

This starts an OpenAI-compatible API server at `http://127.0.0.1:8000`.

For interactive CLI chat:

```bash
trillim chat Trillim/BitNet-Large-TRNQ
```

## What's in this repo

| File | Description |
|---|---|
| `qmodel.tensors` | Ternary-quantized weights in Trillim format |
| `rope.cache` | Precomputed RoPE embeddings |
| `config.json` | Model configuration |
| `tokenizer.json` | Tokenizer |
| `tokenizer_config.json` | Tokenizer configuration |
| `tokenizer.model` | SentencePiece model |
| `tokenization_bitnet.py` | Custom tokenizer class |
| `trillim_config.json` | Trillim metadata |

## License

This model is released under the [MIT License](https://opensource.org/licenses/MIT), following the license of the source model.