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tianzl66
/
Qwen3-8B-MetaMathQA-50K-LoRA-Seed43

Text Generation
PEFT
Safetensors
lora
spectral-surgery
training-seed-replication
b300
math
seed-43
conversational
Model card Files Files and versions
xet
Community

Instructions to use tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B")
    model = PeftModel.from_pretrained(base_model, "tianzl66/Qwen3-8B-MetaMathQA-50K-LoRA-Seed43")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-8B-MetaMathQA-50K-LoRA-Seed43 / evaluation
12.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
tianzl66's picture
tianzl66
Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results
f931617 verified 25 days ago
  • benchmark_input
    Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results 25 days ago
  • items
    Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results 25 days ago
  • benchmark_provenance.json
    507 Bytes
    Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results 25 days ago
  • generation_manifest.json
    1.51 kB
    Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results 25 days ago
  • results.json
    2.61 kB
    Release audited B300 LoRA training seed 43; actual zero warmup and complete in-domain HNS results 25 days ago