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deepcogito_cogito-v1-preview-llama-70b
The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use. Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models). The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement. The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts. In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks. Each model is trained in over 30 languages and supports a context length of 128k.

Repository: localaiLicense: llama3.1

sophosympatheia_strawberrylemonade-l3-70b-v1.0
This 70B parameter model is a merge of zerofata/L3.3-GeneticLemonade-Final-v2-70B and zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B, which are two excellent models for roleplaying. In my opinion, this merge achieves slightly better stability and expressiveness, combining the strengths of the two models with the solid foundation provided by deepcogito/cogito-v1-preview-llama-70B. This model is uncensored. You are responsible for whatever you do with it. This model was designed for roleplaying and storytelling and I think it does well at both. It may also perform well at other tasks but I have not tested its performance in other areas.

Repository: localaiLicense: llama3

deepcogito_cogito-v1-preview-llama-3b
The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use. Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models). The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement. The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts. In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks. Each model is trained in over 30 languages and supports a context length of 128k.

Repository: localaiLicense: llama3.2

deepcogito_cogito-v1-preview-llama-8b
The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial use. Cogito models are hybrid reasoning models. Each model can answer directly (standard LLM), or self-reflect before answering (like reasoning models). The LLMs are trained using Iterated Distillation and Amplification (IDA) - an scalable and efficient alignment strategy for superintelligence using iterative self-improvement. The models have been optimized for coding, STEM, instruction following and general helpfulness, and have significantly higher multilingual, coding and tool calling capabilities than size equivalent counterparts. In both standard and reasoning modes, Cogito v1-preview models outperform their size equivalent counterparts on common industry benchmarks. Each model is trained in over 30 languages and supports a context length of 128k.

Repository: localaiLicense: llama3.1