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--- |
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license: mit |
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tags: |
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- bitnet |
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- ternary |
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- trillim |
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- cpu-inference |
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base_model: microsoft/bitnet-b1.58-2B-4T-bf16 |
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--- |
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# BitNet-TRNQ |
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Ternary-quantized version of [microsoft/bitnet-b1.58-2B-4T-bf16](https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16), packaged for the [Trillim DarkNet](https://huggingface.co/Trillim) inference engine. |
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This model runs entirely on CPU — no GPU required. |
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## Model Details |
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|---|---| |
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| **Architecture** | BitNet (BitNetForCausalLM) | |
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| **Parameters** | ~2B | |
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| **Hidden size** | 2560 | |
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| **Layers** | 30 | |
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| **Attention heads** | 20 (5 KV heads) | |
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| **Context length** | 4096 | |
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| **Quantization** | Ternary ({-1, 0, 1}) | |
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| **Source model** | [microsoft/bitnet-b1.58-2B-4T-bf16](https://huggingface.co/microsoft/bitnet-b1.58-2B-4T-bf16) | |
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| **License** | MIT | |
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## Usage |
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```bash |
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pip install trillim |
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trillim pull Trillim/BitNet-TRNQ |
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trillim serve Trillim/BitNet-TRNQ |
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``` |
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This starts an OpenAI-compatible API server at `http://127.0.0.1:8000`. |
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For interactive CLI chat: |
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```bash |
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trillim chat Trillim/BitNet-TRNQ |
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``` |
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## What's in this repo |
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| File | Description | |
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|---|---| |
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| `qmodel.tensors` | Ternary-quantized weights in Trillim format | |
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| `rope.cache` | Precomputed RoPE embeddings | |
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| `config.json` | Model configuration | |
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| `tokenizer.json` | Tokenizer | |
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| `tokenizer_config.json` | Tokenizer configuration | |
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| `trillim_config.json` | Trillim metadata | |
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## License |
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This model is released under the [MIT License](https://opensource.org/licenses/MIT), following the license of the source model. |
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