jiogenes/llama-3.1-8b-r1280-svd-qres1

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 13, 2026Architecture:Transformer Warm

The jiogenes/llama-3.1-8b-r1280-svd-qres1 model is an 8 billion parameter language model based on the Llama 3.1 architecture. This model is shared by jiogenes and has a context length of 8192 tokens. Further specific details regarding its training, unique differentiators, or primary use cases are not provided in the available model card. It is a base model with more information needed for specific applications.

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Model Overview

This model, jiogenes/llama-3.1-8b-r1280-svd-qres1, is an 8 billion parameter language model built upon the Llama 3.1 architecture. It supports a context length of 8192 tokens. The model card indicates that this is a Hugging Face Transformers model, automatically generated, but lacks specific details regarding its development, funding, or fine-tuning history.

Key Characteristics

  • Architecture: Llama 3.1 base model.
  • Parameters: 8 billion.
  • Context Length: 8192 tokens.

Current Limitations and Information Gaps

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

  • Developer and Funding: Specific entities responsible for its creation and funding are not detailed.
  • Model Type and Language(s): The precise model type (e.g., causal LM, instruction-tuned) and supported languages are not specified.
  • License: The licensing terms for its use are not provided.
  • Training Details: Information on training data, procedures, hyperparameters, and environmental impact is marked as "More Information Needed."
  • Evaluation Results: No benchmarks or performance metrics are available.
  • Intended Use Cases: Direct and downstream use cases, as well as out-of-scope uses, are not defined.

Users should be aware of these limitations and the absence of critical details regarding bias, risks, and recommendations. Further information is required to properly assess its suitability for specific applications.