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twscholar-lm-sft-1.5b-lora-r64
Yoda6131027/twscholar-lm-sft-1.5b-lora-r64
twscholar-lm-sft-1.5b-lora-r64 is a machine learning model from Yoda6131027. 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 cc-by-nc-4.0.
Part of a three-line scale comparison (0.5B full fine-tune / 1.5B LoRA / 7B QLoRA) documenting VRAM and quality trade-offs on a single 12GB consumer GPU. This is the 1.5B point — not the recommended model for actual u…
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Updated Jul 18, 2026
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026
- SHA
- 159ba7b4
Base models
Model card
From the Hugging Face model README
twscholar-lm — 1.5B LoRA (scale-comparison checkpoint)
Part of a three-line scale comparison (0.5B full fine-tune / 1.5B LoRA /
7B QLoRA) documenting VRAM and quality trade-offs on a single 12GB
consumer GPU. This is the 1.5B point — not the recommended model for
actual use (see twscholar-lm-dpo-7b-final), published for the
comparison's reproducibility.
- LoRA r=64, alpha=128, 3 epochs
- Peak VRAM during training: 6.07GB
- Full comparison table:
results/m2_sft_comparison.jsonin the project repo — https://github.com/oscarlin778/twscholar-lm - License: cc-by-nc-4.0 (inherited from the training dataset)
- License
- cc-by-nc-4.0
- Languages
- zh
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026