Spartan7/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-lumbering_thorny_sealion

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 17, 2025Architecture:Transformer Featherless Exclusive Warm

Spartan7/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-lumbering_thorny_sealion is a 0.5 billion parameter instruction-tuned model based on the Qwen2.5 architecture. This model is part of the Gensyn Swarm initiative, though specific training details and differentiators are not provided in its current documentation. It is intended for general instruction-following tasks, but its specialized 'Coder' designation suggests an orientation towards code-related applications. Further information is needed to ascertain its unique capabilities or performance benchmarks.

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Model Overview

This model, Spartan7/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-lumbering_thorny_sealion, is a 0.5 billion parameter instruction-tuned model. It is built upon the Qwen2.5 architecture and is associated with the Gensyn Swarm project. The model's name includes "Coder" and "Instruct," indicating its design for following instructions, potentially with a focus on code-related tasks.

Key Characteristics

  • Model Size: 0.5 billion parameters.
  • Architecture: Based on the Qwen2.5 family.
  • Context Length: Supports a context length of 32768 tokens.
  • Instruction-Tuned: Designed to respond to user instructions.

Current Status and Limitations

As per the provided model card, many details regarding its development, training data, specific capabilities, and evaluation results are currently marked as "More Information Needed." This includes:

  • Specific developer and funding information.
  • Detailed model type and language support.
  • Training data and procedure specifics.
  • Evaluation metrics and results.
  • Known biases, risks, and limitations.

Usage Recommendations

Given the limited information, direct use cases and performance expectations are not clearly defined. Users should be aware that comprehensive details are pending. It is recommended to await further documentation for a complete understanding of its intended applications and performance characteristics.