kunalchamoli/cogito-v1-custom-qwen-32B

TEXT GENERATIONConcurrency Cost:2Model Size:32.8BQuant:FP8Ctx Length:32kPublished:Jul 30, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

The kunalchamoli/cogito-v1-custom-qwen-32B model is a 32.8 billion parameter instruction-tuned generative language model developed by Deep Cogito. It features a unique hybrid reasoning capability, allowing it to answer directly or self-reflect before responding, and supports a context length of 128k tokens. Optimized for coding, STEM, instruction following, and general helpfulness, it demonstrates significantly higher multilingual, coding, and tool-calling capabilities compared to other models of similar size, outperforming them on common industry benchmarks in both standard and reasoning modes.

Loading preview...

Cogito v1 Preview - 32B

The Cogito v1 Preview is a 32.8 billion parameter instruction-tuned generative language model developed by Deep Cogito. It stands out as a hybrid reasoning model, capable of providing direct answers or engaging in self-reflection before generating a response. This model is trained using Iterated Distillation and Amplification (IDA), an alignment strategy focused on iterative self-improvement.

Key Capabilities

  • Hybrid Reasoning: Can operate in a standard direct answer mode or an 'extended thinking' mode for more complex problem-solving.
  • Optimized Performance: Specifically tuned for coding, STEM subjects, complex instruction following, and general helpfulness.
  • Multilingual Support: Trained in over 30 languages, offering enhanced capabilities compared to size-equivalent models.
  • Extended Context: Supports a substantial context length of 128k tokens.
  • Tool Calling: Fully supports single, parallel, and multiple tool calls in both standard and extended thinking modes.

Good For

  • Complex Problem Solving: Ideal for tasks requiring deeper reasoning, such as advanced coding challenges or intricate STEM problems, leveraging its self-reflection capabilities.
  • Multilingual Applications: Suitable for applications requiring robust performance across a wide array of languages.
  • Code Generation & Scripting: Excels in coding tasks, including generating bash scripts and integrating with external tools.
  • Instruction Following: Designed for precise and nuanced adherence to user instructions, making it reliable for automated workflows.
  • Benchmarking: Outperforms size-equivalent counterparts on industry benchmarks in both direct and reasoning modes, as detailed in the Blog Post.

Finetunes
1 models