laion/GLM-4_7-stackexchange-tezos-sandboxes-maxeps-131k
The laion/GLM-4_7-stackexchange-tezos-sandboxes-maxeps-131k model is an 8 billion parameter language model, fine-tuned from Qwen/Qwen3-8B. It was specifically trained on the DCAgent2/GLM-4.7-stackexchange-tezos-sandboxes-maxeps-131k dataset, indicating a specialization in content related to Tezos sandboxes and StackExchange discussions. This model is optimized for tasks requiring understanding and generation within these specific technical domains, leveraging its 32768 token context length for detailed analysis.
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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.