one2026/subasty-ia-v2-final
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The one2026/subasty-ia-v2-final is an 8 billion parameter Llama 3.1 model, fine-tuned by one2026. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging the Llama 3.1 architecture for efficient performance.
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Overview
The one2026/subasty-ia-v2-final is an 8 billion parameter language model developed by one2026. It is a fine-tuned variant of the unsloth/meta-llama-3.1-8b-unsloth-bnb-4bit model, leveraging the Llama 3.1 architecture. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which significantly accelerated the training, achieving a 2x speed improvement.
Key Capabilities
- Efficient Fine-tuning: Benefits from Unsloth's optimizations for faster training.
- Llama 3.1 Architecture: Inherits the robust capabilities of the Llama 3.1 base model.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good For
- Developers seeking an 8B parameter Llama 3.1 model that has undergone an optimized fine-tuning process.
- Applications requiring a balance of performance and efficiency, particularly where faster fine-tuning is a priority.
- General-purpose text generation, understanding, and conversational AI tasks.