hanmock/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-sniffing_yapping_chameleon

Hugging Face
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Nov 28, 2025Architecture:Transformer Featherless Exclusive Warm

The hanmock/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-sniffing_yapping_chameleon is a 0.5 billion parameter instruction-tuned causal language model. This model is part of the Qwen2.5-Coder family, designed for code-related tasks. It features a substantial context length of 32768 tokens, making it suitable for processing extensive codebases or complex programming instructions. Its primary strength lies in its instruction-following capabilities within a coding context.

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Model Overview

This model, hanmock/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-sniffing_yapping_chameleon, is an instruction-tuned variant within the Qwen2.5-Coder family. It is a compact yet capable language model with 0.5 billion parameters, designed to understand and execute instructions, particularly in programming contexts. A notable feature is its extensive context window of 32768 tokens, allowing it to handle large inputs and maintain coherence over long sequences.

Key Characteristics

  • Parameter Count: 0.5 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a 32768-token context window, beneficial for complex coding tasks and extended conversations.
  • Instruction-Tuned: Optimized for following instructions, making it suitable for interactive applications.

Potential Use Cases

  • Code Generation: Generating code snippets or functions based on natural language prompts.
  • Code Explanation: Providing explanations for existing code.
  • Debugging Assistance: Helping identify potential issues or suggesting fixes in code.
  • Educational Tools: Assisting learners with programming concepts and exercises.