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wudi_gemma_fp32_iter_15
tuanpasg/wudi_gemma_fp32_iter_15
wudi_gemma_fp32_iter_15 is a machine learning model from tuanpasg. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Base model: google/gemma-2-2b - Algorithm: wudimerge - Save path: /media/nthuy08/outs/wudigemmafp32//wudigemmafp32iter15 - Fine-tuned checkpoints: ['MergeBench/gemma-2-2binstruction', 'MergeBench/gemma-2-2bmath', 'M…
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.safetensors5.2 GB · 99%
At a glance
- Model type
- gemma2
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 16, 2026
- SHA
- fdae6872
Model card
From the Hugging Face model README
Merged Model
- Base model: google/gemma-2-2b
- Algorithm:
wudi_merge - Save path:
/media/nthuy08/outs/wudi_gemma_fp32//wudi_gemma_fp32_iter_15 - Fine-tuned checkpoints: ['MergeBench/gemma-2-2b_instruction', 'MergeBench/gemma-2-2b_math', 'MergeBench/gemma-2-2b_coding']
- Merge runtime (s): 213.964
Arguments
{
"out": "/media/nthuy08/outs/wudi_gemma_fp32//wudi_gemma_fp32_iter_15",
"scaling": 1.0,
"dtype": "bfloat16",
"device_map": "cpu",
"merge_method": "wudi_merge",
"exclude": [
".*embed.*",
".*lm_head.*"
],
"wudi_variant": "wudi_all_linear",
"wudi_iter": 15,
"wudi_snapshot_dir": null,
"wudi_lr": 1e-05,
"wudi_weight_decay": 0.0,
"wudi_alpha": 1.0,
"wudi_device": "cuda",
"wudi_warm_start": false,
"wudi_cfs_ridge": 0.0,
"wudi_fallback": "task_arithmetic",
"wudi_fallback_scaling": 1.0,
"wudi_K": 0.7,
"wudi_sparsify_variant": "ties_sparsify",
"wudi_loss_log_csv": null,
"effective_exclude": [
".*embed_tokens\\.weight$",
".*lm_head\\.weight$",
".*embed.*",
".*lm_head.*"
]
}
- Type
- gemma2
- Created
- Sep 6, 2026
- Updated
- Sep 16, 2026