shantanu61000/sfr-copernicus-v1

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kTool Calling:SupportedPublished:Jun 11, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

shantanu61000/sfr-copernicus-v1 is an 8 billion parameter LLaMA-3 based language model, finetuned from Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R. Developed by shantanu61000, this model was trained using Unsloth and Huggingface's TRL library, enabling faster finetuning. It is designed for general language generation tasks, leveraging its LLaMA-3 foundation and efficient training methodology.

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Model Overview

shantanu61000/sfr-copernicus-v1 is an 8 billion parameter language model developed by shantanu61000. It is finetuned from the Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R model, building upon a robust LLaMA-3 architecture.

Key Characteristics

  • Base Model: LLaMA-3-8B architecture.
  • Finetuning Source: Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-R.
  • Efficient Training: This model was finetuned significantly faster using Unsloth and Huggingface's TRL library. This approach optimizes the training process, allowing for quicker iteration and deployment.

Intended Use Cases

This model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from its LLaMA-3 foundation and the iterative DPO finetuning process of its base model. Its efficient training methodology makes it a practical choice for developers looking for a performant 8B parameter model.

Finetunes
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