ishikauniphore/student_SelectedGEN_nemotron_stem_qwen7bins
The ishikauniphore/student_SelectedGEN_nemotron_stem_qwen7bins is a 7.6 billion parameter language model. This model is part of the Nemotron-3 8B family, specifically a student version, and is based on the Qwen architecture. It features a substantial context length of 32768 tokens, making it suitable for processing extensive inputs. The model's primary differentiator and use case are currently unspecified in the provided documentation.
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Model Overview
This model, ishikauniphore/student_SelectedGEN_nemotron_stem_qwen7bins, is a 7.6 billion parameter language model. It is identified as a student version within the Nemotron-3 8B family, leveraging the Qwen architecture. A notable technical specification is its substantial context window of 32768 tokens, which allows for the processing of lengthy sequences of text.
Key Characteristics
- Parameter Count: 7.6 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Architecture: Based on the Qwen architecture, part of the Nemotron-3 8B family.
Current Status and Limitations
As per the provided model card, specific details regarding the model's development, funding, language support, license, and finetuning origins are currently marked as "More Information Needed." Consequently, its direct use cases, downstream applications, and out-of-scope uses are not yet defined. Information on training data, procedures, evaluation metrics, and results is also pending. Users should be aware of these limitations and the lack of detailed information regarding potential biases, risks, and recommendations for use.