models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
RMBG-2.0RMBG-1.4Qwen2.5-Math-RM-72Bcoatnet_rmlp_2_rw_384.sw_in12k_ft_in1kRMBG-2.0rm-ckptsmnasnet_100.rmsp_in1kgemma-2-9b-it-rm-skyworkmaxvit_rmlp_tiny_rw_256.sw_in1kspnasnet_100.rmsp_in1krmfbnetc_100.rmsp_in1kcoatnet_rmlp_2_rw_224.sw_in12k_ft_in1kRMBG-2.0Victoriacoatnet_rmlp_1_rw2_224.sw_in12k_ft_in1kGFM-RAG-8MRMBG-1.4-wall-segmentation-cubicassaQwen3.6-27B-abliterated-rMAX-i1-GGUFunlearn_tofu_Llama-3.2-1B-Instruct_forget10_RMU_lr1e-05_layer5_scoeff100_epoch10qwen2.5-1.5b-rm-ultrafeedbackOLMo-2-1124-7B-RMOLMo-2-1124-13B-RMllama-3-tulu-v2.5-8b-uf-mean-70b-uf-rm-mixed-prompts-i1-GGUFInnoSpark-HPC-RM-32B-i1-GGUFtinygrad-rmsZephyr_RMUcoatnet_rmlp_1_rw_224.sw_in1kRM-R1-DeepSeek-Distilled-Qwen-32B-i1-GGUFablation-Qwen2_5-G0-Rmmseed-GPT4o-adv5-4-12k-GGUF
