kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-1A-E1
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 19, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-1A-E1 is an 8 billion parameter instruction-tuned language model, finetuned by kairawal from unsloth/Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, emphasizing faster training efficiency. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture.
Loading preview...
Model Overview
kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-1A-E1 is an 8 billion parameter instruction-tuned language model, developed by kairawal. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, inheriting its robust Llama 3.1 architecture and a 32768 token context length.
Key Characteristics
- Efficient Training: This model was finetuned with a focus on speed, utilizing the Unsloth library in conjunction with Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
- Instruction-Tuned: As an instruction-tuned variant, it is optimized for understanding and executing a wide range of user prompts and instructions.
- Llama 3.1 Foundation: Built upon the Meta-Llama-3.1-8B-Instruct, it benefits from the advancements and capabilities of the Llama 3.1 series.
Potential Use Cases
- General-purpose AI applications: Suitable for tasks requiring instruction following, text generation, summarization, and question answering.
- Rapid Prototyping: The efficient training methodology suggests potential for quick adaptation or further finetuning for specific domains.
- Research and Development: Provides a solid base for exploring instruction-tuned models within the Llama 3.1 ecosystem.