yufeng1/OpenThinker-7B-type6-e3-max-alpha0_2509765625

TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Apr 27, 2026Architecture:Transformer Cold

yufeng1/OpenThinker-7B-type6-e3-max-alpha0_2509765625 is a 7.6 billion parameter language model developed by yufeng1. This model is a Hugging Face Transformers model, automatically generated, with a context length of 32768 tokens. Further specific details regarding its architecture, training, and primary differentiators are not provided in the available model card. Its intended use cases and unique strengths are currently unspecified.

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Model Overview

This model, yufeng1/OpenThinker-7B-type6-e3-max-alpha0_2509765625, is a 7.6 billion parameter language model hosted on Hugging Face. The model card indicates it is a 🤗 transformers model, automatically generated, with a context length of 32768 tokens. However, specific details regarding its development, funding, model type, language(s), license, or finetuning base are currently marked as "More Information Needed" in its official documentation.

Key Characteristics

  • Parameter Count: 7.6 billion parameters.
  • Context Length: Supports a substantial context window of 32768 tokens.
  • Model Type: A Hugging Face Transformers model.

Current Limitations

As per the provided model card, significant information is pending, including:

  • Developer and Funding: Not specified.
  • Model Architecture and Training: Details on its specific architecture, training data, and training procedure are not available.
  • Evaluation Results: No performance benchmarks or evaluation metrics are provided.
  • Intended Use Cases: Direct and downstream uses are not defined, making it difficult to assess suitability for specific applications.
  • Bias, Risks, and Limitations: These critical aspects are also marked as "More Information Needed," suggesting users should proceed with caution and conduct their own assessments.

Due to the lack of detailed information, users are advised that comprehensive understanding of its capabilities, limitations, and appropriate use cases requires further documentation from the developer.