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Twscholar Lm Sft 7b Qlora R64

QLoRA SFT adapter for Qwen2.5-7B-Instruct on the twscholar-lm dataset — the SFT stage on its own, before DPO. Most users should prefer twscholar-lm-dpo-7b-final (SFT + DPO); this checkpoint is published for...

ArtLoRABasismodellQwen/Qwen2.5-7B-InstructVersionUnratedBewertung

Modellquelle

Art
LoRA
Dateigröße
308 MB
Basismodell
Qwen/Qwen2.5-7B-Instruct
Version
vBF16
Aktualisiert
3. Nov. 2026
Downloads
0
Quelle
Hugging Face

Quellenbeschreibung

twscholar-lm — SFT only (intermediate checkpoint)

QLoRA SFT adapter for Qwen2.5-7B-Instruct on the twscholar-lm dataset — the SFT stage on its own, before DPO. Most users should prefer twscholar-lm-dpo-7b-final (SFT + DPO); this checkpoint is published for reproducibility and for anyone studying the SFT-vs-SFT+DPO comparison directly.

  • r=64, alpha=128, 1 epoch (see the main model card / project repo for why 1 epoch was chosen over 3 — results/m4_ood_glitch_investigation.md)
  • Full project: https://github.com/oscarlin778/twscholar-lm
  • License: cc-by-nc-4.0 (inherited from the training dataset)

Quellen

1 Quelle
Hugging FacePrimärVersion b6467e5945891916324157a0f013df8fb0eb9461
huggingface.co/Yoda6131027/twscholar-lm-sft-7b-qlora-r64/tree/b6467e5945891916324157a0f013df8fb0eb9461

Verifiziert 3. Nov.

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Modellartefakte

2 Artefakte

adapter_model.safetensors

safetensors · BF16 (unverified) · 308 MB · SHA-256 3b8edb4e95f9…22cc · Hugging Face

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checkpoint-30/adapter_model.safetensors

safetensors · BF16 (unverified) · 308 MB · SHA-256 3b8edb4e95f9…22cc · Hugging Face

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Quellenauszüge

2 Auszüge

--- license: cc-by-nc-4.0 base_model: Qwen/Qwen2.5-7B-Instruct tags: - lora - qlora - sft - traditional-chinese - academic-writing language: - zh --- # twscholar-lm — SFT only (intermediate checkpoint) QLoRA SFT adapter for Qwen2.5-7B-Instruct on the twscholar-lm dataset — the SFT stage on its own, before DPO. Most users should prefer `twscholar-lm-dpo-7b-final` (SFT + DPO); this checkpoint is published for reproducibility and for anyone studying the SFT-vs-SFT+DPO comparison directly. - r=64, alpha=128, 1 epoch (see the main model card / project repo for why 1 epoch was chosen over 3 — `results/m4_ood_glitch_investigation.md`) - Full project: https://github.com/oscarlin778/twscholar-lm - License: cc-by-nc-4.0 (inherited from the training dataset)

Source context: 0 downloads · 0 likes · Repo Yoda6131027/twscholar-lm-sft-7b-qlora-r64