heipah/TwinLlama-3.1-8B
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The heipah/TwinLlama-3.1-8B is an 8 billion parameter Llama 3.1-based causal language model developed by heipah. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general language tasks, leveraging the efficiency of its training methodology.
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Overview
The heipah/TwinLlama-3.1-8B is an 8 billion parameter language model, fine-tuned from the Meta-Llama-3.1-8B architecture. Developed by heipah, this model leverages the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerated its training process, achieving a 2x speed improvement.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B.
- Training Efficiency: Utilizes Unsloth and Huggingface TRL for 2x faster training.
- License: Released under the Apache-2.0 license.
Good For
- Applications requiring a Llama 3.1-based model with efficient fine-tuning.
- General language generation and understanding tasks.
- Developers interested in models trained with Unsloth's speed optimizations.