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.
caduceus-ph_seqlen-131k_d_model-256_n_layer-16caduceus-ps_seqlen-131k_d_model-256_n_layer-16dinov2-giant-imagenet1k-1-layerdinov2-base-imagenet1k-1-layerg2p_multilingual_byT5_tiny_16_layers_100dinov2-small-imagenet1k-1-layerNVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-layersNVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-layersOrnith-1.5-35B-Q4_K_M-layersLlama-3.1-8B-Pruned-4-Layers_LoRA-PEFT-3.0-i1-GGUFLlama-4-Scout-17B-16E-Instruct-2-layers-mxfp4Llama-3.2-1B-Instruct-Q4_K_M-layersunlearn_tofu_Llama-3.2-1B-Instruct_forget10_RMU_lr1e-05_layer5_scoeff100_epoch10gemma-4-12B-it-qat-GGUF-UD-Q4_K_XL-layersg2p_multilingual_byT5_tiny_12_layers_100Llama-3.1-8B-Pruned-4-Layers_LoRA-PEFT-2.0-i1-GGUFautoprogrammer_-_Llama-3.2-1B-Instruct-Ja-gsm8k-layerswap1-ggufLlama-3.1-8b-Pruned-1-Layer-GGUFESMC-6B-sae-layer60-k64-codebook16384autoprogrammer_-_Llama-3.2-1B-Instruct-Ja-gsm8k-layerswap-gguftiny-random-qwen3-vl-layer10Mistral-7B-Instruct-v0.2-sliced-24-layer-i1-GGUFLlama-3.1-8B-Pruned-4-Layers_LoRA-PEFT-DPO-i1-GGUFautoprogrammer_-_Llama-3.2-1B-Instruct-oracmath-Ja-layerswap-ggufdinov2-large-imagenet1k-1-layermigueldeguzmandev_-_GPT2XL_RLLMv12-layer-5-gguffacebook_-_layerskip-llama3.2-1B-ggufsparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-11-hook_mlp_out-l1-5e-05Llama-3.1-8B-Omni-llama-layers-only-abliterated-for-real-this-time-i1-GGUFmigueldeguzmandev_-_GPT2XL_RLLMv12-layer-2-gguf
