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.
MiniMax-M3-EAGLE3-GQAtiny-random-LlamaForCausalLM-GQATinyStories-LLaMA2-25M-256h-4l-GQAMixtral-GQA-400m-v2-i1-GGUFsmol_llama-220M-GQAsmol_llama-101M-GQAturn-detector-GQA-ONNXBEE-spoke-data_-_smol_llama-220M-GQA-fineweb_edu-ggufTinyStories-LLaMA2-20M-256h-4l-GQA-GGUFemozilla_-_llama2-1.1b-gqa-init-ggufgemma-3-1b-it-ONNX-GQATinyStories-LLaMA2-20M-256h-4l-GQA-i1-GGUFonnx-genai-example-qwen2-5-0-5b-cuda-gqa-f16smol_llama-220M-GQA-GGUFsmol_llama-101M-GQA-GGUFMixtral-GQA-400m-v2-GGUFsmol_llama-101M-GQA-python-GGUFSmolLM2-135M-Instruct-ONNX-GQAMixtral-GQA-400m-v2-GGUFGQA-1B-Instruct-GGUFBEE-spoke-data_-_smol_llama-220M-GQA-ggufTinyStories-LLaMA2-42.5M-512h-4l-GQAsmol_llama-220M-GQA-32k-theta-sft-limarpTinyStories-LLaMA2-20M-256h-4l-GQAEYE-Llama_gqaBEE-spoke-data_-_Mixtral-GQA-400m-v2-ggufMixtral-GQA-400m-v2MiniMax-M3-EAGLE3-GQA-NVFP4llama-test-gqa-with-better-transformertiny-random-LlamaForCausalLM-GQA
