brez47/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-spotted_exotic_raccoon

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Nov 16, 2025Architecture:Transformer Warm

The brez47/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-spotted_exotic_raccoon model is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. With a substantial 131072 token context length, it is designed for processing extensive inputs. While specific training details are not provided, its naming suggests an optimization for coding tasks and instruction following. This model is suitable for applications requiring a compact yet capable language model for code-related generation and understanding.

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Model Overview

This model, named brez47/Qwen2.5-Coder-1.5B-Instruct-Gensyn-Swarm-spotted_exotic_raccoon, is an instruction-tuned language model with 1.5 billion parameters. It is built upon the Qwen2.5 architecture and features a very large context window of 131072 tokens, enabling it to handle extensive textual and potentially code-based inputs.

Key Characteristics

  • Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: An exceptionally long context window of 131072 tokens, ideal for tasks requiring deep understanding of long documents or complex codebases.
  • Instruction-Tuned: Designed to follow instructions effectively, making it versatile for various NLP applications.
  • Coder-Oriented Naming: The "Coder" in its name suggests a specialization or optimization for code generation, completion, and understanding tasks.

Potential Use Cases

  • Code Generation: Assisting developers by generating code snippets or entire functions based on natural language prompts.
  • Code Completion & Refactoring: Providing intelligent suggestions for code completion and helping to refactor existing code.
  • Long Document Analysis: Leveraging its large context window for summarizing, querying, or analyzing extensive technical documentation or code repositories.
  • Instruction Following: Executing complex multi-step instructions for various programming or text-based tasks.

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