Cogito 3B - Details

Cogito 3B, developed by Deep Cogito, is a large language model with 3 billion parameters designed for hybrid reasoning and self-reflection to enhance problem-solving capabilities. It operates under the Llama 32 Community License Agreement (LLAMA-32-COMMUNITY).

Cogito v1 preview is an instruction-tuned generative language model optimized for coding, STEM, instruction following, and general helpfulness. It leverages Iterated Distillation and Amplification (IDA) for alignment, supports over 30 languages, and features a 128k context length. The model outperforms size-equivalent counterparts in benchmarks and enables tool calling in both standard and extended thinking modes, enhancing its versatility for complex tasks.

Cogito 3B has 3 billion parameters, placing it in the small model category, which ensures fast and resource-efficient performance for simpler tasks. Its 128k context length falls into the very long context range, enabling it to process extensive texts and complex sequences, though this requires significant computational resources. This combination allows the model to balance efficiency with the ability to handle lengthy inputs, making it versatile for tasks requiring both speed and depth.

• Parameter Size: 3b
• Context Length: 128k

Cogito 3B is a large language model designed for code generation, STEM problem solving, and tool calling integration, with possible applications in areas like software development, scientific research, and task automation. Its 3 billion parameters and 128k context length suggest it could handle complex reasoning tasks, though possible use cases would require validation to ensure effectiveness and alignment with specific goals. Possible scenarios include assisting with coding challenges, analyzing technical problems, or integrating with external tools to enhance workflow efficiency. However, these possible applications remain untested in real-world settings and would need rigorous evaluation before deployment.

• code generation
• stem problem solving
• tool calling integration

Cogito 3B offers possible applications in areas such as code generation, STEM problem solving, tool calling integration, and content creation, though these possible uses require thorough evaluation to ensure alignment with specific needs. Its 3 billion parameters and 128k context length suggest it could support possible tasks like automating coding workflows, tackling complex scientific challenges, or enhancing tool-based interactions, but possible effectiveness in these domains remains unproven. Possible scenarios might also include analyzing technical documents or streamlining repetitive tasks, though each possible application must be rigorously tested before deployment.

• code generation
• stem problem solving
• tool calling integration
• content creation

Cogito 3B in its medium q4 version balances precision and performance, requiring a GPU with at least 8GB VRAM for efficient operation, though specific needs may vary based on workload. This quantized variant reduces memory usage compared to fp16, making it suitable for systems with moderate hardware, while q8 offers higher accuracy at the cost of increased resource demands. The q4 version is ideal for tasks prioritizing speed without sacrificing too much fidelity.

• fp16, q4, q8

Cogito 3B, developed by Deep Cogito, is a large language model with 3 billion parameters and a 128k context length, operating under the Llama 32 Community License Agreement (LLAMA-32-COMMUNITY). It emphasizes hybrid reasoning and self-reflection to enhance problem-solving capabilities, making it suitable for tasks requiring balanced performance and adaptability.

Huggingface Model Page
Ollama Model Page