Cogito 8B - Details

Cogito 8B, developed by the company Deep Cogito, is a large language model with 8B parameters designed to enhance problem-solving through hybrid reasoning and self-reflection. It operates under the Llama 32 Community License Agreement, allowing for collaborative development and use within specified guidelines.

Cogito 8B is an instruction-tuned generative model with 8B parameters developed by Deep Cogito and released under the Llama 32 Community License Agreement for commercial use. It excels in hybrid reasoning and self-reflection, enabling direct answers or reflective processing before responding. Trained using Iterated Distillation and Amplification (IDA), it is optimized for coding, STEM, instruction following, and general helpfulness. The model demonstrates superior multilingual, coding, and tool calling capabilities compared to size-equivalent models, outperforming others on benchmarks in both standard and reasoning modes. Its open license supports collaborative development while prioritizing practical applications in technical and problem-solving domains.

Cogito 8B has 8B 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 it to process extensive texts but requiring significant computational resources. This combination allows the model to handle complex reasoning and long-form tasks effectively while maintaining practical usability.

• Parameter Size: 8B – mid-scale models provide balanced performance for moderate complexity tasks.
• Context Length: 128k – very long contexts excel at handling extensive texts but are resource-intensive.

Cogito 8B is a versatile large language model with 8B parameters and a 128k context length, designed for tasks requiring hybrid reasoning and self-reflection. Its possible applications include coding assistance, where it might generate or debug code, though this requires testing for accuracy and adaptability. In STEM problem solving, it could assist with complex calculations or simulations, but its effectiveness in specialized domains needs validation. For general task automation, it might streamline workflows or data processing, though real-world performance depends on specific requirements. These possible uses highlight its flexibility but underscore the need for thorough evaluation before deployment.

• Intended Uses: coding assistance, stem problem solving, general task automation

Cogito 8B is a large language model with 8B parameters and a 128k context length, designed for tasks requiring hybrid reasoning and self-reflection. Its possible applications include coding assistance, where it might generate or refine code, though this requires testing for accuracy and adaptability. In STEM problem solving, it could support complex calculations or hypothesis testing, but its effectiveness in specialized domains needs validation. For general task automation, it might streamline repetitive workflows or data processing, though real-world performance depends on specific requirements. These possible uses highlight its flexibility but underscore the need for thorough evaluation before deployment. Each application must be thoroughly evaluated and tested before use.

• Possible Applications: coding assistance, stem problem solving, general task automation

Cogito 8B with the q4 quantized version requires a GPU with at least 16GB VRAM for efficient operation, making it suitable for systems with mid-range graphics cards. This version balances precision and performance, though users should verify their GPU’s compatibility and ensure at least 32GB system memory for smooth execution. Additional considerations include adequate cooling and a power supply capable of handling the GPU’s demands.

• Quantized Versions: fp16, q4, q8

Cogito 8B, developed by Deep Cogito, is a large language model with 8B parameters and a 128k context length, designed for hybrid reasoning and self-reflection to enhance problem-solving. It operates under the Llama 32 Community License Agreement, enabling commercial use while prioritizing flexibility for tasks like coding, STEM, and automation.

Huggingface Model Page
Ollama Model Page