kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-r16alpha32-E3-S73
TEXT GENERATIONConcurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned language model developed by kairawal, finetuned from Meta-Llama-3.1-8B-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging the Llama 3.1 architecture.
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Model Overview
kairawal/Llama-3.1-8B-Instruct-GA-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter instruction-tuned language model. It was developed by kairawal and is finetuned from the Meta-Llama-3.1-8B-Instruct base model, inheriting its robust architecture and capabilities.
Key Characteristics
- Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct, providing a strong foundation for instruction-following tasks.
- Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Good For
- General Instruction Following: Suitable for a wide range of tasks requiring the model to understand and execute instructions.
- Efficient Deployment: Models trained with Unsloth are often optimized for faster inference and reduced memory footprint, making this model potentially efficient for deployment.
- Research and Development: Its open license and Llama 3.1 lineage make it a good candidate for further research, experimentation, and fine-tuning on specific datasets.