inioluwa-eng/raft-beauty-v1-merged
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The inioluwa-eng/raft-beauty-v1-merged is an 8 billion parameter Llama 3.1 instruction-tuned causal language model, developed by inioluwa-eng. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3.1 architecture for robust performance.
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Overview
The inioluwa-eng/raft-beauty-v1-merged is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by inioluwa-eng, this model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. It is licensed under Apache-2.0.
Key Capabilities
- Llama 3.1 Architecture: Leverages the advanced capabilities of the Llama 3.1 base model for strong language understanding and generation.
- Instruction-Tuned: Optimized to follow instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.
- Efficient Training: Benefits from Unsloth's optimizations, indicating a focus on efficient resource utilization during finetuning.
Good For
- General Language Tasks: Suitable for text generation, summarization, question answering, and other common NLP applications.
- Instruction Following: Excels in scenarios where precise adherence to user prompts and instructions is critical.
- Development and Experimentation: Provides a solid base for further finetuning or integration into larger systems, particularly for developers looking for an efficiently trained Llama 3.1 variant.