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AI 模型 84757
- 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
- FLUX.1-dev-INT8-ConvRot↗
AX1Y2JP
- Llama3-Crab-DPO-GGUF↗
bartowski
- MS-Schisandra-22B-v0.3-GGUF↗
bartowski
- Prismatic-12b-GGUF↗
bartowski
- Tower-Babel_Babel-83B-Chat-GGUF↗
bartowski
- zerofata_MS3.2-PaintedFantasy-v4-24B-GGUF↗
bartowski
Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (zerofata_MS3.2-PaintedFantasy-v4-24B-Q8_0) or download them all in place (./)