SONGJUNTU/Distill-R1-1.5B-AutoThink-Stage3

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:May 15, 2025Architecture:Transformer Featherless Exclusive Cold

SONGJUNTU/Distill-R1-1.5B-AutoThink-Stage3 is a 1.5 billion parameter language model with a 32768 token context length. This model is part of the Distill-R1 series, developed by SONGJUNTU. While specific differentiators are not detailed in the provided information, its architecture and parameter count suggest it is designed for efficient language processing tasks. It is suitable for applications requiring a compact yet capable model for general text generation and understanding.

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Model Overview

SONGJUNTU/Distill-R1-1.5B-AutoThink-Stage3 is a 1.5 billion parameter language model, offering a substantial 32768 token context length. Developed by SONGJUNTU, this model is part of the Distill-R1 series, indicating a focus on distilled or optimized performance. The provided model card is a standard Hugging Face Transformers model card, which currently lacks specific details regarding its training data, architecture, or unique capabilities.

Key Characteristics

  • Parameter Count: 1.5 billion parameters, suggesting a balance between performance and computational efficiency.
  • Context Length: A notable 32768 tokens, allowing for processing and understanding of extensive input sequences.
  • Developer: SONGJUNTU, as indicated by the model name.

Current Limitations

As per the provided model card, detailed information on the following aspects is currently marked as "More Information Needed":

  • Model type and specific architecture
  • Training data and procedure
  • Evaluation results and benchmarks
  • Intended direct and downstream uses
  • Known biases, risks, and limitations

Users should be aware that without further details, the specific strengths and optimal use cases of this model are not fully defined. It is recommended to await further documentation from the developers for comprehensive understanding and application guidance.

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