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Efficient MoE-based LLM
Mixture-of-Experts Large Language Models with Advanced Quantization
Uncensored & Abliterated LLMs
Models with reduced safety guardrails for research purposes. Created using Heretic abliteration. Use responsibly.
Apertus v1
Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages
100 Coder/Programming - MOE, Reasoning, Reg, Imatrix, Fused.
Models (0.8B to 87B) in regular, "reasoning", "Brainstorm", MOE (1x to 8x / 128 experts), and expanded to create better and stronger code, faster.
Efficient MoE-based LLM
Mixture-of-Experts Large Language Models with Advanced Quantization
Uncensored & Abliterated LLMs
Models with reduced safety guardrails for research purposes. Created using Heretic abliteration. Use responsibly.
Apertus v1
Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages
100 Coder/Programming - MOE, Reasoning, Reg, Imatrix, Fused.
Models (0.8B to 87B) in regular, "reasoning", "Brainstorm", MOE (1x to 8x / 128 experts), and expanded to create better and stronger code, faster.