ubunator/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-moist_regal_mule
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:0.5BQuant:BF16Ctx Length:32kArchitecture:Transformer0.0K Warm

ubunator/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-moist_regal_mule is a 0.5 billion parameter instruction-tuned language model with a 131,072 token context length. Developed by ubunator, this model is part of the Qwen2.5-Coder family. Its primary differentiator and intended use case are not specified in the provided model card, indicating it may be a base or experimental model requiring further information for specific applications.

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Model Overview

This model, ubunator/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-moist_regal_mule, is a 0.5 billion parameter instruction-tuned language model. It features a substantial context length of 131,072 tokens, suggesting potential for processing long sequences of text or code.

Key Characteristics

  • Model Family: Qwen2.5-Coder
  • Parameter Count: 0.5 billion
  • Context Length: 131,072 tokens
  • Instruction-Tuned: Indicates it has been fine-tuned to follow instructions.

Limitations and Recommendations

The provided model card indicates that significant information regarding its development, specific model type, language support, license, and training details is currently "More Information Needed." Users should be aware of these gaps. It is recommended that users exercise caution and seek further documentation before deploying this model in production environments, as its intended uses, biases, risks, and performance metrics are not yet detailed. The model card explicitly states that users should be made aware of the risks, biases, and limitations, which are currently unspecified.