Add README with results table and download links
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README.md
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---
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license: apache-2.0
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tags:
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- vision
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- image-classification
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- ternary
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- quantization
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- vit
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datasets:
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- imagenet-1k
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- cifar10
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- cifar100
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---
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# FTerViT: Fully Ternary Vision Transformer
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Pretrained checkpoints for **FTerViT** — the first fully ternary Vision Transformer where *all* weight matrices and normalization parameters are constrained to {-1, 0, +1}.
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**Paper:** [FTerViT: Fully Ternary Vision Transformer](https://arxiv.org/abs/XXXX.XXXXX) (NeurIPS 2026 submission)
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**Code:** [github.com/szymonrucinski/FTerViT](https://github.com/szymonrucinski/FTerViT)
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## Key Results
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All models use **W2A8** (2-bit weights, 8-bit activations) with 100% ternary coverage — including patch embedding, LayerNorm, and classifier head.
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### ImageNet-1K
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| Model | Phase | Epochs | Top-1 (%) | Size (MB) | Compression | Checkpoint |
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|-------|-------|--------|-----------|-----------|-------------|------------|
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| DeiT-Small | Phase 1 | 250 | 75.05 | 5.81 | 15.2× | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/imagenet1k/phase1_ep250_acc75.05_deit_small_224.pth) |
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| DeiT-III-Small | Phase 1 | 250 | 76.78 | 5.81 | 15.2× | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/imagenet1k/phase1_ep250_acc76.78_deit3_small_224.pth) |
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| DeiT-Small | Phase 2 | +10 | **77.47** | 5.81 | 15.2× | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/imagenet1k/phase2_ep010_acc77.47_deit_small_224.pth) |
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| DeiT-III-Small | Phase 2 | +10 | **79.64** | 5.81 | 15.2× | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/imagenet1k/phase2_ep010_acc79.64_deit3_small_224.pth) |
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### CIFAR-10 / CIFAR-100
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| Model | Dataset | Top-1 (%) | FP32 Baseline | Size (MB) | Checkpoint |
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|-------|---------|-----------|---------------|-----------|------------|
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| DeiT-Tiny | CIFAR-10 | **97.43** | 97.52 | 1.53 | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/cifar10/phase2_ep010_acc97.43_deit_tiny_224.pth) |
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| DeiT-Tiny | CIFAR-100 | **86.01** | 86.54 | 1.53 | [download](https://huggingface.co/szymonrucinski/FTerViT/resolve/main/cifar100/phase2_ep010_acc86.01_deit_tiny_224.pth) |
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## Training Protocol
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Training uses a two-phase knowledge distillation approach:
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- **Phase 1:** QAD with frozen FP32 teacher, KL-only loss, lr=1e-4 cosine decay, 250 epochs
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- **Phase 2:** Low-lr recovery fine-tuning, lr=1e-5 cosine decay, 10 epochs
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See the paper for full details.
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## Loading a Checkpoint
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## Citation
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