laion/sera-3160__Qwen3-8B
The laion/sera-3160__Qwen3-8B is an 8 billion parameter language model, fine-tuned from Qwen/Qwen3-8B. This model was trained on the /e/data1/datasets/playground/ot/hf_hub/datasets--laion--allenai-sera-unified-3160/snapshots/099497cdf98a9c3da57ca8873d9d734da4be1361_thinking_preprocessed dataset. It is designed for general language understanding and generation tasks, leveraging its Qwen3 architecture.
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Model Overview
This model, laion/sera-3160__Qwen3-8B, is an 8 billion parameter language model derived from the Qwen3-8B architecture. It has undergone a specific fine-tuning process using the laion/allenai-sera-unified-3160 dataset, which suggests a focus on tasks related to the content of this particular dataset.
Training Details
The fine-tuning process involved several key hyperparameters:
- Learning Rate: 4e-05
- Batch Size: 1 (train), 8 (eval)
- Optimizer: ADAMW_TORCH_FUSED
- Epochs: 7.0
- Distributed Training: Multi-GPU setup with 32 devices and a total train batch size of 96.
Intended Use
While specific intended uses and limitations are not detailed in the provided information, as a fine-tuned Qwen3-8B model, it is generally suitable for a range of natural language processing tasks. Its performance characteristics would be influenced by the specific data it was fine-tuned on, which is the allenai-sera-unified-3160 dataset. Developers should consider the nature of this dataset when evaluating its applicability for their specific use cases.