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genclimb-large-quantized
stfamod/genclimb-large-quantized
genclimb-large-quantized is a text generation model from stfamod. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Jul 23, 2024
- Updated
- Jul 24, 2025
- SHA
- 4588c29f
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Datasets
Model card
From the Hugging Face model README
GenClimb: AI-Generated Climbing Routes for Interactive Training Boards
Try here: https://genclimb.pages.dev/
GenClimb is a generative AI model designed to create climbing routes for Standardized Interactive Climbing Training Boards (SICTBs). It a seq2seq transformer architecture, GenClimb generates climbs based on board layouts and climb difficulties.
Model Details
Architecture
- Dimension: 512
- Attention Heads: 4
- Layers: 5
- Feed-Forward Dimension: 1024
- Dropout Rate: 0.15
- Activation Function: GELU
- Layer Normalization Epsilon: 1e-5
Training Configuration
- Device: CUDA (1x NVIDIA GeForce RTX 3070)
- Learning Rate: 1e-4
- Epochs: 8
- Weight Decay: 0.0125
- Batch Size: 32
- Train/Test Split: 90/10
Performance Metrics
- Training Time: 12 hours and 6 minutes
- Final Loss: 2.114803
Dataset
The model is trained on the Kilter-Board-Dataset, a comprehensive collection of climbing routes curated with the help of the BoardLib utility by lemeryfertitta.
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Created
- Jul 23, 2024
- Updated
- Jul 24, 2025