AhmedSherif22/TwinLlama-3.1-8B
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jun 26, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
AhmedSherif22/TwinLlama-3.1-8B is an 8 billion parameter Llama 3.1 model developed by AhmedSherif22. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient performance.
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TwinLlama-3.1-8B Overview
TwinLlama-3.1-8B is an 8 billion parameter language model developed by AhmedSherif22. It is fine-tuned from the unsloth/Llama-3.1-8B base model, leveraging the Llama 3.1 architecture for its capabilities. A key aspect of its development is the use of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from Llama 3.1-8B.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth for significantly faster fine-tuning.
- License: Released under the Apache-2.0 license.
Good For
- Applications requiring a Llama 3.1-based model with efficient training origins.
- General language generation and understanding tasks.
- Developers looking for a model fine-tuned with performance-enhancing tools like Unsloth.