goncalocapelalopes/TwinLlama-3.1-8B-DPO

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The TwinLlama-3.1-8B-DPO model by goncalocapelalopes is an 8 billion parameter Llama-based language model. It was fine-tuned from goncalocapelalopes/TwinLlama-3.1-8B using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general language generation tasks, leveraging its efficient training methodology.

Loading preview...

TwinLlama-3.1-8B-DPO Overview

This model, developed by goncalocapelalopes, is an 8 billion parameter Llama-based language model. It stands out due to its efficient training process, having been fine-tuned from the goncalocapelalopes/TwinLlama-3.1-8B base model. The fine-tuning was accelerated by a factor of two using the Unsloth library in conjunction with Huggingface's TRL library.

Key Characteristics

  • Architecture: Llama-based, 8 billion parameters.
  • Training Efficiency: Utilizes Unsloth for 2x faster fine-tuning.
  • Base Model: Fine-tuned from goncalocapelalopes/TwinLlama-3.1-8B.
  • Context Length: Supports a context length of 32768 tokens.

Use Cases

This model is suitable for a variety of general-purpose language generation and understanding tasks where a performant 8B parameter model with an extended context window is beneficial. Its efficient training suggests potential for rapid adaptation to specific downstream applications.

Finetunes
1 models