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AI 模型 84759
- GLM-5.3-INT4-FP8Mix↗
AlayaNeW
- OLMo-2-1124-13B↗
allenai
We introduce OLMo 2, a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently-sized fully-open models, and competitive with open-weight models from Meta and Mistral on English academic benchmarks. OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the science of language models. These models are trained on the Dolma dataset. We are releasing all code, checkpoints, logs (coming soon), and associated training details. The core models released in this batch include the following: OLMo 2 will be supported in the next version of Transformers, and you need to install it from the main branch using:
- Gemma-4-26B-A4B-NVFP4↗
AxionML
- DIVA↗
BAAI
- LGAI-EXAONE_EXAONE-Deep-32B-GGUF↗
bartowski
- mlabonne_gemma-3-27b-it-abliterated-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 (mlabonne_gemma-3-27b-it-abliterated-Q8_0) or download them all in place (./)
- open-r1_OpenR1-Qwen-7B-GGUF↗
bartowski
- PygmalionAI_Pygmalion-3-12B-GGUF↗
bartowski
- MegaDescriptor-S-224↗
BVRA
A Swin-S image feature model. Supervisely pre-trained on animal re-identification datasets. - **Model Type:** Animal re-identification / feature backbone - **Model Stats:** - Params (M): 49.6 - Image size: 224 x 224 - Architecture: swin_small_patch4_window7_224 - **Paper:** WildlifeDatasets_An_Open-Source_Toolkit_for_Animal_Re-Identification - **Related Papers:** - Swin Transformer: Hierarchical Vision Transformer using Shifted Windows - DINOv2: Learning Robust Visual Features without Supervision - **Pretrain Dataset:** All available re-identification datasets --> https://github.com/WildlifeDatasets/wildlife-datasets
- OXR-1.0-mlx-bf16↗
bxespinozar