Overview

This model, laion/swesmith-316-opt1k__Qwen3-8B, is an 8 billion parameter language model derived from the Qwen3-8B architecture. It has undergone fine-tuning on a specific dataset, /e/data1/datasets/playground/ot/hf_hub/datasets--laion--swesmith-unified-316/snapshots/2990d3acbbe8e6622cfe408e0f12038e523310ec_thinking_preprocessed, indicating a potential specialization in areas covered by this training data. The model supports a substantial context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Training Details

The fine-tuning process utilized the following key hyperparameters:

• Learning Rate: 4e-05
• Batch Sizes: train_batch_size of 1, eval_batch_size of 8, with a gradient_accumulation_steps of 3, leading to a total_train_batch_size of 96.
• Optimizer: ADAMW_TORCH_FUSED with specific beta and epsilon values.
• Scheduler: Cosine learning rate scheduler with a 0.1 warmup ratio.
• Epochs: Trained for 7.0 epochs.

Intended Uses & Limitations

Specific intended uses and limitations are not detailed in the provided model card. Users should evaluate its performance on their specific tasks, especially considering the unique fine-tuning dataset. The model's large context window makes it suitable for applications requiring extensive input or output generation.