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ndgold/Qwen3-1.7B-WCAG-AD-lora
Qwen3-1.7B-WCAG-AD-lora is a machine learning model from ndgold. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as cc-by-nc-4.0.
Unfused MLX LoRA adapter for the wcaguar WCAG audio-description refiner, trained on ndgold/wcag-ad. This is a backup of the raw adapter — the ready-to-use fused 4-bit model is ndgold/Qwen3-1.7B-WCAG-AD-4bit.
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Updated Jun 17, 2026
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From the Hugging Face model README
Unfused MLX LoRA adapter for the wcaguar WCAG audio-description refiner, trained on ndgold/wcag-ad. This is a backup of the raw adapter — the ready-to-use fused 4-bit model is ndgold/Qwen3-1.7B-WCAG-AD-4bit.
Config: rank 16, scale 20, dropout 0.05, q/k/v/o, mask_prompt, cosine. See train_1.7b.yaml.
mlx_lm.fuse --model Qwen/Qwen3-1.7B --adapter-path . --save-path fused-bf16
mlx_lm.convert --hf-path fused-bf16 --mlx-path fused-4bit -q --q-bits 4 --q-group-size 64
Non-commercial / academic use (CC-BY-NC-4.0). Sources: VideoA11y-40K + YouDescribe/YuWA.