Cogito 14B - Details

Cogito 14B is a large language model developed by Deep Cogito, a company specializing in advanced AI research. With 14b parameters, it is designed to enhance problem-solving through hybrid reasoning and self-reflection. The model is released under the Apache License 2.0, allowing flexible use and modification for both research and commercial purposes.

Cogito LLMs are instruction-tuned generative models designed for text input and output, released under the Apache License 2.0 for commercial use. They employ Iterated Distillation and Amplification (IDA) during training, enabling hybrid reasoning and self-reflection to improve answer quality. Optimized for coding, STEM tasks, instruction following, and general helpfulness, they outperform size-equivalent models in multilingual support (over 30 languages), coding capabilities, and tool calling. With a 128k context length, they excel in complex tasks and achieve strong results on industry benchmarks.

Cogito 14B features 14b parameters, placing it in the mid-scale category of open-source LLMs, offering a balance between performance and resource efficiency for moderate complexity tasks. Its 128k context length falls into the very long context range, enabling advanced handling of extended texts but requiring significant computational resources. This combination allows the model to tackle intricate reasoning and long-form content while maintaining practical usability.
- Parameter Size: 14b
- Context Length: 128k

Cogito 14B is a versatile large language model with possible applications in coding assistance, STEM problem solving, and task automation. Its hybrid reasoning and self-reflection capabilities could enable possible uses such as generating code snippets, analyzing complex scientific problems, or streamlining repetitive workflows. However, these possible applications require further exploration to ensure effectiveness and alignment with specific needs. The model’s 14b parameter size and 128k context length suggest it could handle intricate tasks, but possible implementations would depend on the context and requirements of the user. Potential uses might include supporting educational tools, enhancing research processes, or improving automation in non-critical workflows. While the model’s design suggests possible value in these areas, thorough testing and validation would be necessary before deployment.
- coding assistance
- stem problem solving
- task automation

Cogito 14B is a large language model with possible applications in areas such as coding assistance, STEM problem solving, task automation, and educational support. Its hybrid reasoning and self-reflection capabilities could enable possible uses like generating code, analyzing scientific problems, or streamlining workflows, though these possible implementations would require careful assessment. Possible applications in content creation, research collaboration, or non-critical automation might also align with its design, but possible deployments would need thorough evaluation to ensure suitability. Possible uses in these domains remain speculative and demand rigorous testing before practical application.
- coding assistance
- stem problem solving
- task automation
- educational support

Cogito 14B in its medium q4 version requires a GPU with at least 16GB VRAM for efficient operation, making it suitable for mid-range hardware. This quantization balances precision and performance, allowing the model to run on systems with 12GB–24GB VRAM depending on workload. System memory should be at least 32GB, and adequate cooling is recommended. Possible applications of this version may vary, but hardware compatibility must be verified.
- fp16, q4, q8

Cogito 14B is a large language model developed by Deep Cogito, featuring 14b parameters, the Apache License 2.0, and a focus on hybrid reasoning and self-reflection for enhanced problem-solving. It supports a 128k context length and offers quantized versions including fp16, q4, and q8, making it adaptable for various applications.

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