Abdelmnam/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-slow_dextrous_butterfly

Hugging Face
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 6, 2025Architecture:Transformer Featherless Exclusive Warm

Abdelmnam/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-slow_dextrous_butterfly is a 0.5 billion parameter instruction-tuned causal language model based on the Qwen2.5 architecture. This model is shared by Abdelmnam and features a substantial 32768 token context length, making it suitable for processing longer inputs. Its primary differentiator and intended use case are not specified in the provided information, suggesting it may be a base model or an experimental fine-tune.

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Model Overview

This model, named Abdelmnam/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-slow_dextrous_butterfly, is a 0.5 billion parameter instruction-tuned language model. It is based on the Qwen2.5 architecture and features a significant context window of 32768 tokens, allowing it to handle extensive textual inputs.

Key Characteristics

  • Model Size: 0.5 billion parameters.
  • Architecture: Based on the Qwen2.5 family.
  • Context Length: Supports a large context of 32768 tokens.
  • Instruction-Tuned: Designed to follow instructions, indicating its potential for various NLP tasks.

Usage and Limitations

Detailed information regarding the model's specific development, training data, intended uses, biases, risks, and evaluation results is currently marked as "More Information Needed" in its model card. Developers should be aware of these unspecified areas when considering its application. Without further details, its optimal use cases and performance characteristics remain to be fully determined.

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