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Fine-tuned dragonSwing/wav2vec2-base-pretrain-vietnamese on Vietnamese Speech Recognition task using 100h labelled data from VSLP dataset. When using this model, make sure that your speech input is sampled at 16kHz. The model can be used directly (without a language model) as follows:
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> **Updated 2026-09-18 — DFlash2 drafter added** (re-converted in place with the official `tools.convert` @ `98dada0e`, components `text,vision,mtp,dflash2`): text/vision/MTP weights **byte-identical** to the 2026-09-17 v3 build; new 5-layer DFlash2 draft model from z-lab/Qwen3.8-27B-DFlash2 @ `50307d4c`; min runtime revision is now `98dada0e`. Same filename — just re-download. See discussion #2. A **27.78B-parameter multimodal** derivative of ukisai/Swift-Qwen3.8-27b, abliterated in the huihui-ai style, quantized to **NVFP4 + FP8** for the NInfer engine on **Blackwell (sm_120a)**. ukisai/Swift-Qwen3.8-27b is a strong multimodal Qwen3.8-27B checkpoint, but it still carries the refusal direction of the base model. The huihui abliteration removes that direction (Arditi et al. 2024, refusal-projection family), and the NInfer NVFP4 build makes the result runnable on a single Blackwell card at ~20 GB. This repository is the end-to-end product of that chain: **Swift → huihui-style abliteration → NVFP4 → NInfer**, built and verified on one GPU box, with every step recorded in `NOTICE`.
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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