kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E3-S3407
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E3-S3407 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, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging its Llama 3.1 base and efficient finetuning methodology.
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Model Overview
The kairawal/Llama-3.1-8B-Instruct-EN-SynthDolly-r16alpha32-E3-S3407 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, leveraging the Llama 3.1 architecture for its core capabilities.
Key Characteristics
- Efficient Finetuning: This model was finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.
- Llama 3.1 Base: Benefits from the robust performance and general language understanding of the Meta Llama 3.1 series.
Potential Use Cases
- General-purpose chatbots: Its instruction-following capabilities make it suitable for interactive agents.
- Content generation: Can be used for generating text based on specific prompts or instructions.
- Prototyping and development: The efficient training methodology suggests it could be a good candidate for rapid iteration in development workflows.