yedurivishnuvardhan/vidyaai-gitam-llama3b

TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 10, 2026Architecture:Transformer Cold

The yedurivishnuvardhan/vidyaai-gitam-llama3b is a 3.1 billion parameter language model. This model is a Hugging Face transformers model, automatically pushed to the Hub. Further specific details regarding its architecture, training data, and primary use cases are not provided in the available model card.

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Overview

This model, yedurivishnuvardhan/vidyaai-gitam-llama3b, is a 3.1 billion parameter language model available on the Hugging Face Hub. It is presented as a standard Hugging Face transformers model, with its model card automatically generated upon pushing to the platform.

Key Capabilities

  • Language Model: Functions as a general language model, though specific capabilities like instruction-following, code generation, or reasoning are not detailed.
  • Hugging Face Integration: Designed for seamless use within the Hugging Face ecosystem, supporting standard transformers library functionalities.

Good For

  • Exploration: Suitable for developers and researchers looking to experiment with a 3.1 billion parameter model within the Hugging Face framework.
  • Base Model: Can potentially serve as a base for further fine-tuning or research, given its parameter count, although its pre-training specifics are not provided.

Limitations

The current model card indicates that significant information regarding its development, funding, specific model type, language(s), license, training data, evaluation results, and intended uses is "More Information Needed." Users should be aware of these gaps when considering its application.