Model Overview

DCAgent/a1-stackexchange_tezos is an 8 billion parameter language model, fine-tuned from the base Qwen/Qwen3-8B architecture. This specialized model has undergone further training on a unique dataset sourced from StackExchange Tezos, specifically /e/scratch/jureap59/raoof1/sft_data/hf_hub/datasets--DCAgent--stackexchange-tezos-sandboxes_glm_4.7_traces_locetash/snapshots/3dc18a64ee955db08ffe0186884a7c03ff47d2ff_thinking_preprocessed.

Key Capabilities

• Tezos-Specific Knowledge: Enhanced understanding and generation of content related to the Tezos blockchain.
• Fine-tuned Performance: Leverages the robust capabilities of Qwen3-8B, adapted for a niche technical domain.

Training Details

The model was trained with a learning rate of 4e-05 over 7 epochs, utilizing a multi-GPU setup with 16 devices. An AdamW optimizer with specific beta and epsilon values was employed, alongside a cosine learning rate scheduler with a 0.1 warmup ratio. The training process used Transformers 4.57.6, Pytorch 2.9.1+cu130, Datasets 4.7.0, and Tokenizers 0.22.2.

Good For

• Applications requiring deep knowledge of the Tezos blockchain.
• Generating responses or analyzing content from the StackExchange Tezos community.
• Developers and researchers working on Tezos-related projects.