NotoriousH2/Qwen3-1.7B-base-MED_0812

TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 12, 2026Architecture:Transformer0.0K Featherless Exclusive Cold

NotoriousH2/Qwen3-1.7B-base-MED_0812 is a 2 billion parameter base model from the Qwen family, developed by NotoriousH2. This model is designed as a foundational language model, offering a substantial context length of 32768 tokens. Its base nature suggests suitability for further fine-tuning across various natural language processing tasks. The model's architecture and training details are not explicitly provided, indicating it serves as a general-purpose language understanding and generation tool.

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Model Overview

This model, NotoriousH2/Qwen3-1.7B-base-MED_0812, is a 2 billion parameter base model within the Qwen family, developed by NotoriousH2. It features a significant context length of 32768 tokens, making it capable of processing and generating extensive text sequences. As a base model, its primary utility lies in serving as a robust foundation for various downstream applications and fine-tuning efforts.

Key Characteristics

  • Model Family: Qwen
  • Parameter Count: 2 billion parameters
  • Context Length: 32768 tokens
  • Developer: NotoriousH2

Intended Use

Given its base model nature and substantial context window, this model is generally suitable for:

  • Further Fine-tuning: Adapting to specific tasks such as summarization, question answering, or text generation.
  • Research and Development: Exploring language model capabilities and architectural improvements.
  • General Language Understanding: Processing and interpreting long documents or conversations.

Limitations

The provided model card indicates that specific details regarding its development, training data, evaluation, and potential biases are currently "More Information Needed." Users should be aware of these gaps and exercise caution, especially in sensitive applications, until more comprehensive documentation is available.