laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_warmup-ratio_0-05_Qwen3-32B
The laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_warmup-ratio_0-05_Qwen3-32B is a 32 billion parameter language model, fine-tuned from Qwen/Qwen3-32B. This model is specifically trained on the penfever/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning dataset, indicating a specialization in reasoning tasks within a StackExchange-like context. It is designed for applications requiring nuanced understanding and generation of content similar to technical Q&A forums, leveraging its 32768 token context length.
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Model Overview
This model, laion/GLM-4.6-stackexchange-overflow-sandboxes-32eps-65k-reasoning_warmup-ratio_0-05_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.
Key Characteristics
- Base Model: Qwen/Qwen3-32B, a 32 billion parameter language model.
- Fine-tuning Dataset: Specialized on a dataset derived from StackExchange and Overflow sandboxes, suggesting an optimization for technical Q&A, problem-solving, and reasoning in structured, community-driven content.
- Context Length: Inherits the 32768 token context length from its base model, enabling processing of extensive inputs and generating detailed responses.
Training Details
The model was trained with the following key hyperparameters:
- Learning Rate: 4e-05
- Optimizer: ADAMW_TORCH_FUSED
- Epochs: 7.0
- Batch Size: A total training batch size of 32 (with gradient accumulation steps of 2 across 16 devices).
- LR Scheduler: Cosine scheduler with a warmup ratio of 0.05.
Intended Use Cases
Given its fine-tuning on StackExchange-like data, this model is likely well-suited for:
- Generating answers to technical questions.
- Summarizing discussions or solutions from Q&A forums.
- Assisting with code-related queries or debugging scenarios.
- Applications requiring strong reasoning capabilities within a technical or problem-solving domain.