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Apertus LLM
Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages
300
Pre-training Dataset Samples
A collection of pre-training datasets samples of sizes 10M, 100M and 1B tokens. Ideal for use in quick experimentation and ablations.
12
RLVE
Models for "RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments" - https://arxiv.org/abs/2511.07317
4
Apriel-H1
Introducing Apriel-H1 hybrids each blending Attention and Mamba State Space layers in varying proportions.
5
Apertus LLM
Democratizing Open and Compliant LLMs for Global Language Environments: 8B and 70B open-data open-weights models, multilingual in >1000 languages
300
Pre-training Dataset Samples
A collection of pre-training datasets samples of sizes 10M, 100M and 1B tokens. Ideal for use in quick experimentation and ablations.
12
RLVE
Models for "RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments" - https://arxiv.org/abs/2511.07317
4
Apriel-H1
Introducing Apriel-H1 hybrids each blending Attention and Mamba State Space layers in varying proportions.
5