kairawal/Qwen3-4B-TL-SynthDolly-1A-E1
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 8, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The kairawal/Qwen3-4B-TL-SynthDolly-1A-E1 is a 4 billion parameter Qwen3 model developed by kairawal. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language tasks, leveraging the Qwen3 architecture for efficient performance.
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Overview
This model, kairawal/Qwen3-4B-TL-SynthDolly-1A-E1, is a 4 billion parameter variant of the Qwen3 architecture. It was developed by kairawal and fine-tuned from the unsloth/qwen3-4b base model.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/qwen3-4b. - Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, reportedly achieving 2x faster training speeds.
- Parameter Count: Features 4 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
Given its Qwen3 base and efficient fine-tuning, this model is suitable for a range of general-purpose language generation and understanding tasks where a 4B parameter model with a substantial context window is beneficial.