Model Overview

This model, laion/GLM-4_7-r2egym_sandboxes-maxeps-131k, is an 8 billion parameter language model derived from the Qwen3-8B architecture. It has been fine-tuned on the DCAgent2/GLM-4.7-r2egym_sandboxes-maxeps-131k dataset, indicating a specialized application rather than a general-purpose LLM.

Training Details

The fine-tuning process involved specific hyperparameters:

• Learning Rate: 4e-05
• Batch Size: 1 (train), 8 (eval)
• Gradient Accumulation: 2 steps, resulting in a total effective batch size of 16
• 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

Potential Use Cases

Given its fine-tuning dataset, this model is likely intended for tasks within simulated environments, particularly those related to r2egym sandboxes. This suggests applications in:

• Agent behavior generation
• Reinforcement learning environments
• Simulated interaction analysis

Limitations

The model card indicates that more information is needed regarding its specific intended uses, limitations, and detailed training/evaluation data. Users should exercise caution and conduct thorough testing for their specific applications.