61 lines
2.1 KiB
Markdown
61 lines
2.1 KiB
Markdown
---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.3
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tags:
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- quantization
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- ternary
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- balanced-ternary
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- tritllm
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library_name: transformers
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---
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# Mistral-7B-v0.3-trit-uniform-d1
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Balanced ternary quantization of [`mistralai/Mistral-7B-v0.3`](https://huggingface.co/mistralai/Mistral-7B-v0.3) at depth **d=1** (3 levels per weight, **1.88 bits per weight**).
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Produced with the codec from **"Balanced Ternary Post-Training Quantization for Large Language Models"** (Stentzel, 2026). See [Entrit/tritllm-codec](https://huggingface.co/Entrit/tritllm-codec) for the codec source.
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## Quick load
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("Entrit/Mistral-7B-v0.3-trit-uniform-d1")
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tokenizer = AutoTokenizer.from_pretrained("Entrit/Mistral-7B-v0.3-trit-uniform-d1")
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```
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The weights are dequantized to FP16 for stock-`transformers` compatibility. The on-disk size is therefore the same as the FP16 source. The 1.88-bpw figure refers to the *information content* of the quantized matrices and is what matters for inference on hardware that consumes the packed trit format directly (see [Entrit/tritllm-kernel](https://huggingface.co/Entrit/tritllm-kernel)).
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## Quantization details
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| Field | Value |
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|---|---|
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| Source model | [`mistralai/Mistral-7B-v0.3`](https://huggingface.co/mistralai/Mistral-7B-v0.3) |
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| Depth | d=1 (3 levels) |
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| Bits per weight | 1.88 |
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| Group size | 16 |
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| Scale codebook | 27-entry log-spaced (scale_depth=3) |
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| Method | Uniform PTQ |
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| Quantized layers | all 2D linear matrices |
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| Kept FP16 | `lm_head`, token embeddings, all `*_norm` layers |
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| Codec | tritllm v2 |
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## Citation
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```
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@article{stentzel2026ternaryptq,
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title = {Balanced Ternary Post-Training Quantization for Large Language Models},
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author = {Stentzel, Eric},
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year = 2026,
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note = {Entrit Systems}
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}
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```
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## Reproducibility
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```bash
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git clone https://huggingface.co/Entrit/tritllm-codec
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cd tritllm-codec
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python quantize_model_v2.py --model mistralai/Mistral-7B-v0.3 --configs uniform-d1 --out ./out
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```
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