kairawal/Qwen3-32B-EL-SynthDolly-r16alpha32-E3-S73
The kairawal/Qwen3-32B-EL-SynthDolly-r16alpha32-E3-S73 is a 32 billion parameter Qwen3-based causal language model developed by kairawal. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
kairawal/Qwen3-32B-EL-SynthDolly-r16alpha32-E3-S73 is a 32 billion parameter language model based on the Qwen3 architecture. It was developed by kairawal and fine-tuned from the unsloth/Qwen3-32B base model. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which significantly accelerated training, achieving a 2x speed improvement.
Key Characteristics
- Base Model: Qwen3-32B
- Parameter Count: 32 billion parameters
- Context Length: 32768 tokens
- Training Efficiency: Fine-tuned with Unsloth for 2x faster training.
- License: Apache-2.0, allowing for broad use and distribution.
Intended Use Cases
This model is suitable for a variety of general-purpose language generation tasks, benefiting from its large parameter count and efficient fine-tuning. Its Apache-2.0 license makes it a flexible option for developers and researchers.