Cogito v2.1 is a 671 billion parameter mixture-of-experts generative model fine-tuned on instructions. It is released under an open license and supports commercial use. This model can effectively solve complex reasoning and instruction-following problems, and supports over 30 languages and a 128k context length.

Natural Language ProcessingTransformers

This is the quantized version of the deepcogito cogito-v2-preview-llama-109B-MoE model, quantized using llama.cpp, offering multiple quantization types to suit different hardware conditions. This model is a 109B-parameter Mixture of Experts (MoE) large language model optimized to run on consumer-grade hardware.

Natural Language ProcessingGguf

This is a quantized version of the deepcogito's cogito-v2-preview-llama-70B model, using the imatrix quantization technology of Llama.cpp. It significantly reduces the model storage and computational resource requirements while maintaining good performance, and is suitable for environments with limited resources.

Natural Language ProcessingGguf

Cogito v2 is a generative hybrid inference model fine-tuned by instructions. It uses iterative distillation and amplification training methods and performs excellently in coding, STEM, instruction following, etc. It supports over 30 languages and a 128k context length.

Natural Language ProcessingTransformers

Cogito v2 is a generative large language model fine-tuned with instructions, adopting a mixture-of-experts architecture and having 109 billion parameters. This model supports multilingual processing and long-context reasoning, and performs excellently in fields such as coding and STEM. It supports commercial use.

Natural Language ProcessingTransformers

Cogito v2 is a generative large language model based on instruction tuning, with hybrid reasoning ability, supporting a 128k context length and multilingual processing. This model adopts the Iterative Distillation and Amplification (IDA) training strategy and performs excellently in tasks such as coding, STEM, and instruction following.

Natural Language ProcessingTransformers

Cogito v2 is an instruction-tuned generative model based on Llama-3.1-70B. It has hybrid inference capabilities, supports multiple languages and long contexts, and performs excellently in areas such as coding and STEM. It adopts an iterative distillation and amplification training strategy and can be used for commercial purposes.

Natural Language ProcessingTransformers

A 3B-parameter language model based on the Llama architecture, offering multiple quantization versions to suit different hardware needs

Natural Language ProcessingGguf

A powerful hybrid reasoning model trained through Iterative Distillation and Amplification (IDA) by DeepCogito, excelling in programming, STEM, multilingual, and agent application scenarios.

Natural Language ProcessingGguf

This is a large language model with 70B parameters based on the Llama architecture, which has undergone 6-bit quantization and is suitable for text generation tasks.

Natural Language ProcessingMlx