Model Overview

This model is a fine-tuned version of the Qwen3-8B architecture, developed by laion. It has been specifically adapted using the DCAgent/stackexchange-tezos-sandboxes_glm_4.6_traces_together dataset, indicating a specialization in content related to the Tezos blockchain and StackExchange discussions.

Training Details

The model was trained with a learning rate of 4e-05, a batch size of 1 per device across 8 GPUs, and a total effective batch size of 16 due to gradient accumulation. It utilized the AdamW_TORCH_FUSED optimizer with a cosine learning rate scheduler over 7 epochs. The training environment included Transformers 4.56.1 and Pytorch 2.9.0+cu128.

Potential Use Cases

• Generating responses or summaries for technical questions on Tezos-related StackExchange forums.
• Analyzing and extracting information from discussions about Tezos sandboxes and GLM traces.
• Assisting developers with queries specific to the Tezos ecosystem based on community knowledge.