Model Overview

This model, GLM-4_7-stackexchange-tezos-sandboxes-maxeps-131k, is an 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has been fine-tuned on a specialized dataset, DCAgent2/GLM-4.7-stackexchange-tezos-sandboxes-maxeps-131k, which suggests a focus on content from StackExchange and Tezos sandboxes.

Key Characteristics

• Base Model: Qwen/Qwen3-8B, an 8 billion parameter model.
• Specialized Fine-tuning: Trained on a dataset specifically curated from StackExchange and Tezos sandbox environments.
• Context Length: Features a 32768 token context window, enabling processing of extensive technical discussions and documentation.

Training Details

The model was trained with a learning rate of 4e-05, a total batch size of 16 (across 8 GPUs with 2 gradient accumulation steps), and utilized the AdamW_Torch_Fused optimizer. Training spanned 7 epochs with a cosine learning rate scheduler and a 0.1 warmup ratio.

Potential Use Cases

This model is likely well-suited for applications requiring deep understanding or generation of text related to:

• Tezos Blockchain: Analyzing, summarizing, or generating content about Tezos sandboxes, smart contracts, or development.
• Technical Q&A: Assisting with questions and answers found on StackExchange, particularly in blockchain or related technical fields.
• Developer Support: Providing insights or generating code snippets relevant to the Tezos ecosystem.