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

Hugging Face
TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Nov 23, 2025Architecture:Transformer Featherless Exclusive Warm

The hanmock/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-amphibious_savage_mantis model is a 0.5 billion parameter instruction-tuned language model with a 32768 token context length. This model is part of the Qwen2.5-Coder family, indicating an optimization for code-related tasks. Its small parameter count combined with a large context window suggests it aims for efficient code generation and understanding in resource-constrained environments. Further details on its specific training and differentiators are not provided in the available model card.

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Overview

This model, hanmock/Qwen2.5-Coder-0.5B-Instruct-Gensyn-Swarm-amphibious_savage_mantis, is a 0.5 billion parameter instruction-tuned language model. It is built upon the Qwen2.5-Coder architecture, suggesting a focus on coding capabilities. A notable feature is its substantial context length of 32768 tokens, which is significant for a model of its size, allowing it to process extensive codebases or long conversational histories.

Key Characteristics

  • Parameter Count: 0.5 billion parameters, making it a relatively compact model.
  • Context Length: Supports a large context window of 32768 tokens, beneficial for handling complex or lengthy inputs.
  • Architecture: Based on the Qwen2.5-Coder family, implying an orientation towards code generation, completion, and understanding tasks.

Limitations

The provided model card indicates that much information regarding its development, training data, evaluation, and specific use cases is currently unavailable. Users should be aware that without further details, the model's specific performance, biases, risks, and optimal applications are not fully documented. Recommendations for use are limited due to the lack of comprehensive information.