kairawal/Qwen3-8B-GA-SynthDolly-r16alpha32-E3-S73
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kairawal/Qwen3-8B-GA-SynthDolly-r16alpha32-E3-S73 is an 8 billion parameter Qwen3 model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general-purpose language tasks, leveraging its Qwen3 architecture for robust performance.
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kairawal/Qwen3-8B-GA-SynthDolly-r16alpha32-E3-S73 Overview
This model is an 8 billion parameter variant of the Qwen3 architecture, developed and fine-tuned by kairawal. It stands out due to its efficient training methodology, utilizing Unsloth and Huggingface's TRL library, which allowed for a 2x faster fine-tuning process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-8B. - Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Leverages Unsloth for accelerated fine-tuning, making it a potentially cost-effective and time-saving option for developers.
- Context Length: Supports a context length of 32768 tokens, suitable for handling moderately long inputs and generating coherent, extended outputs.
Good For
- Developers seeking a Qwen3-based model that has undergone an optimized fine-tuning process.
- Applications requiring a capable 8B parameter model with a substantial context window.
- Experimentation with models fine-tuned using Unsloth's efficient training techniques.