Model Overview

This model, laion/swesmith-unified-10000__Qwen3-8B, is an 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has undergone fine-tuning using the /e/data1/datasets/playground/ot/hf_hub/datasets--laion--swesmith-unified-10000/snapshots/816c0d8bac8880ed64e982483d103aa14eef1dff_thinking_preprocessed dataset.

Training Details

The fine-tuning process utilized specific hyperparameters:

• Learning Rate: 4e-05
• Batch Size: 1 (train), 8 (eval)
• Gradient Accumulation: 3 steps
• Total Train Batch Size: 96
• Optimizer: ADAMW_TORCH_FUSED with betas=(0.9, 0.98) and epsilon=1e-08
• LR Scheduler: Cosine type with a warmup ratio of 0.1
• Epochs: 7.0
• Devices: Distributed training across 32 multi-GPU devices.

Intended Use

While specific intended uses and limitations are not detailed in the provided information, this model is generally suitable for tasks where the base Qwen3-8B model performs well, with potential specialization introduced by the laion/swesmith-unified-10000 dataset fine-tuning. Developers should evaluate its performance against their specific requirements, especially considering the dataset used for fine-tuning.