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.
A.X-K1DeepSeek-v4-Flash-REAP-K128-NVFP4qwen3-14B-Q5_K_M-GGUFNeuralAI-Mamba-K1Qwen3-30B-A3B-Dense-3B-SF-K16Omega-AI-1TAgents-K1optimal-sparsity-math-d512-E32-k16-920M-A520Mk-1boptimal-sparsity-math-d1024-E64-k16-6.7B-A1.9Boptimal-sparsity-math-d512-E128-k16-3.3B-A520Mdeepseek-v4-flash-reap-k128-Q2-GGUFDeepSeek-v4-Flash-REAP-K150-NVFP4optimal-sparsity-math-d1024-E16-k16-1.9B-A1.9Bqwen3-1.7b-a8_klreward-krew-k1-coef1e-2-mb4-eta100-bs256x5-n2qwen3-1.7b-a8_klreward-krew-k1-coef0.5-mb4-eta100-bs256x5-n2qwen3-1.7b-a8_klreward-krew-k1-coef1e-4-mb4-eta100-bs256x5-n2qwen3-1.7b-a8_klreward-krew-k1-coef0.1-mb4-eta100-bs256x5-n2deepseek-v4-flash-reap-k128-Q2-Q4-Mixed-GGUFqwen3-1.7b-a3_onpolicy-k1-cNone-clip0.2-mb1-eta100-bs256x5-n2-s800qwen3-1.7b-a8_klreward-krew-k1-coef1e-3-mb4-eta100-bs256x5-n2optimal-sparsity-code-d1024-E128-k16-13.2B-A1.9Bqwen3-1.7b-a7_current_kl-curKL-k1-cNone-clip0.2-mb4-eta100-bs256x5-n2optimal-sparsity-math-d2048-E128-k16-52.2B-A7.1Boptimal-sparsity-code-d512-E32-k16-920M-A520Mqwen3-4b-a1_base-k1-cNone-clip0.2-mb4-eta100-bs256x5-n4optimal-sparsity-math-d512-E256-k16-6.6B-A520Mqwen3-1.7b-a3_onpolicy-k1-cNone-clip0.2-mb1-eta100-bs256x5-n2qwen3-1.7b-a3_onpolicy-k1-cNone-clip0.2-mb1-eta100-bs64x5-n2-s800optimal-sparsity-code-d512-E128-k16-3.3B-A520M
