Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.

New vision models are now available: LLaVA 1.6, in 7B, 13B and 34B parameter sizes. These models support higher resolution images, improved text recognition and logical reasoning.

Feb 2, 2024 · Information on how the models were trained is available on the LLaVA website, as well as benchmark results comparing LLaVA 1.6 to leading open-source and proprietary models.

Apr 8, 2024 · Ollama supports embedding models, making it possible to build retrieval augmented generation (RAG) applications that combine text prompts with existing documents or other data.

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.

OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight …

Nov 6, 2024 · Llama 3.2 Vision 11B and 90B models are now available in Ollama.

Apr 18, 2024 · Over the coming months, they will release multiple models with new capabilities including multimodality, the ability to converse in multiple languages, a much longer context …