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AI 模型 85003
- Llama-3.1-70B↗
unsloth
- Qwen3-VL-235B-A22B-Instruct-1M-GGUF↗
unsloth
- whisper-base-ser-dusha↗
waveletdeboshir
Model was fine-tuned on full Dusha-crowd with * augmentations Time Shift, Time Masking and Colored Noise; * WeightedRandomSampler.
- Sakura-Qwen3.8-Flash-Next-Compact-ISTA-IQ3_S-512E-CP2-GGUF↗
webmp3
- Gemma-4-31B-xVITA-zhTW-GGUF↗
xCloudinfo
- flan-t5-base↗
Xenova
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
- DeepSeek-R1-0528-Qwen3-8B-GGUF↗
XythicK
- OvisOCR2-GGUF↗
Abiray
This repository contains GGUF format quantizations of **OvisOCR2**, a compact 0.8B end-to-end model for page-level document parsing. The original model was developed by **ATH-MaaS** by post-training `Qwen3.5-0.8B` to parse full document pages directly into clean Markdown (including LaTeX formulas, HTML tables, and layout components). OvisOCR2 establishes a new state-of-the-art for compact document understanding, scoring **96.58** on OmniDocBench v1.6 and outperforming traditional, multi-stage layout analysis pipelines. *Note: Because OvisOCR2 is a vision-language model, you **must** download one of these image processing units alongside your choice of the text models listed above.*
- Llama-3-8B-instruct↗
AI-Sweden-Models
- Z-Image-Fun-Lora-Distill↗
alibaba-pai
The 2602 model tends to produce blurry images with sigmas below 0.500, as the distillation model was not trained on certain steps. The 2603 model introduces a random timesteps strategy, making it better adapted to sigmas below 0.500. As shown below, when using kl_optimal, many sigmas fall below 0.500. The 2603 model handles these cases correctly, while the 2602 model does not. Note that although kl_optimal is used in the figure, we still recommend using the simple scheduler for inference. Z-Image-Fun-Lora-Distill-8-Steps-2602 Z-Image-Fun-Lora-Distill-4-Steps-2602 Z-Image-Fun-Lora-Distill-8-Steps