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.
Trelis_-_SmolLM-360M-Instruct-layer-pruned-200M-raw-ggufTrelis_-_SmolLM-360M-Instruct-layer-pruned-every2nd-200M-ggufAMindToThink-gemma-2-2b-it_RMU_s200_a1200_layer7-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a100_layer7-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a1200_layer11-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a300_layer3-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a300_layer11-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a100_layer11-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a500_layer15-GGUFAMindToThink-gemma-2-2b-it_RMU_s200_a500_layer11-GGUFrichmondsin-finetuned-gemma-2-2b-output-layer-20-16k-4-GGUFAMindToThink-gemma-2-2b_RMU_s200_a100_layer3-GGUFrichmondsin-finetuned-gemma-2-2b-output-layer-20-4k-7-GGUFAMindToThink-gemma-2-2b_RMU_s200_a500_layer7-GGUFAMindToThink-gemma-2-2b_RMU_s200_a300_layer7-GGUFAMindToThink-gemma-2-2b_RMU_s200_a100_layer7-GGUFAMindToThink-gemma-2-2b_RMU_s200_a500_layer3-GGUFrichmondsin-finetuned-gemma-2-2b-output-layer-20-4k-3-GGUFLLM-GAT_-_llama3_rmu_layer-5-6-7_alpha-90_steer-20_lr-5e-05_batch-8_checkpoint-3-ggufTrelis_-_SmolLM-360M-Instruct-layer-width-pruned-200M-raw-gguf