laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_adam-beta1_0-95_Qwen3-32B
The laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_adam-beta1_0-95_Qwen3-32B is a 32 billion parameter language model fine-tuned from Qwen/Qwen3-32B. It was trained on the penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning dataset, suggesting an optimization for reasoning tasks within StackExchange and Overflow sandbox contexts. With a 32K context length, this model is likely specialized for processing and generating detailed, technical responses in specific Q&A environments.
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Model Overview
This model, laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_adam-beta1_0-95_Qwen3-32B, is a fine-tuned version of the Qwen/Qwen3-32B base model. It has been specifically adapted using the penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning dataset.
Training Details
The fine-tuning process involved specific hyperparameters aimed at optimizing performance for its target domain:
- Base Model: Qwen/Qwen3-32B
- Dataset: penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning
- Learning Rate: 4e-05
- Optimizer: ADAMW_TORCH_FUSED with betas=(0.95, 0.999)
- Epochs: 7.0
- Batch Size: A total training batch size of 32 was achieved through gradient accumulation (1 per device, 2 accumulation steps across 16 devices).
Potential Use Cases
Given its training on a dataset derived from StackExchange and Overflow sandboxes, this model is likely specialized for:
- Generating detailed explanations and solutions for technical questions.
- Assisting with code-related queries and debugging scenarios.
- Providing reasoning-based responses in a Q&A format, particularly within programming and technical domains.