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BitNet-GenZ-LoRA-TRNQ
Trillim/BitNet-GenZ-LoRA-TRNQ
BitNet-GenZ-LoRA-TRNQ is a machine learning model from Trillim. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Ternary-quantized LoRA adapter for Trillim/BitNet-TRNQ that changes the model's style to speak in GenZ slang, packaged for the Trillim DarkNet inference engine.
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Public
Updated May 27, 2026
Repo size
65.1 MB
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Repo makeup
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.json34.4 MB · 68%
At a glance
- License
- mit
- Access
- Public
- Created
- Feb 17, 2026
- Updated
- May 27, 2026
- SHA
- f34072b8
Base models
Model card
From the Hugging Face model README
BitNet-GenZ-LoRA-TRNQ
Ternary-quantized LoRA adapter for Trillim/BitNet-TRNQ that changes the model's style to speak in GenZ slang, packaged for the Trillim DarkNet inference engine.
This adapter runs entirely on CPU — no GPU required.
Adapter Details
| Type | LoRA adapter |
| Style | GenZ slang |
| Architecture | BitNet (BitNetForCausalLM) |
| Quantization | Ternary ({-1, 0, 1}) |
| Platforms | x86_64, aarch64 |
| Base model | Trillim/BitNet-TRNQ |
| Source model | microsoft/bitnet-b1.58-2B-4T-bf16 |
| License | MIT |
Usage
pip install trillim
trillim pull Trillim/BitNet-TRNQ
trillim pull Trillim/BitNet-GenZ-LoRA-TRNQ
trillim chat Trillim/BitNet-TRNQ Trillim/BitNet-GenZ-LoRA-TRNQ
This starts an interactive CLI chat.
What's in this repo
| File | Description |
|---|---|
qmodel.lora | Ternary-quantized LoRA weights in Trillim format |
tokenizer.json | Tokenizer |
tokenizer_config.json | Tokenizer configuration |
chat_template.jinja | Chat template |
trillim_config.json | Trillim metadata |
License
This adapter is released under the MIT License, following the license of the source model.
- License
- mit
- Created
- Feb 17, 2026
- Updated
- May 27, 2026