ishikauniphore/student_DataEnvGym_nemotron_stem_llama8bins

TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 10, 2026Architecture:Transformer Featherless Exclusive Cold

The ishikauniphore/student_DataEnvGym_nemotron_stem_llama8bins is an 8 billion parameter language model with a context length of 32768 tokens. Developed by ishikauniphore, this model is part of the Nemotron-Stem-Llama family. Due to the limited information in its model card, specific differentiators and primary use cases are not detailed, suggesting it may be a base or experimental model for general language tasks.

Loading preview...

Model Overview

This model, ishikauniphore/student_DataEnvGym_nemotron_stem_llama8bins, is an 8 billion parameter language model with a substantial context length of 32768 tokens. It is identified as a Nemotron-Stem-Llama family model, developed by ishikauniphore.

Key Capabilities

  • Large Context Window: Supports processing of long sequences up to 32768 tokens, which can be beneficial for tasks requiring extensive contextual understanding.
  • 8 Billion Parameters: Offers a significant parameter count for robust language understanding and generation capabilities.

Limitations

  • The model card indicates that specific details regarding its training data, evaluation results, intended direct or downstream uses, and potential biases or risks are currently "More Information Needed." Users should exercise caution and conduct their own evaluations before deploying this model in critical applications.

How to Get Started

Specific instructions for getting started with the model are marked as "More Information Needed" in the model card. Users are advised to consult the model's repository or contact the developer for usage examples and integration guidelines.