QomSSLab / gemma3-12b-etghan_sft_v1

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Introduction of gemma3-12b-etghan_sft_v1

Model Details of gemma3-12b-etghan_sft_v1

Fine-tuned Model: gemma3-12b-etghan_sft_v1

📚 Training Configuration
  • data_path : QomSSLab/etghan_sft_v1
  • output_dir : gemma312b_lora_chckpnts
  • new_model_name : gemma3-12b-etghan_sft_v1
  • data_ratio : 1.0
  • model_name : QomSSLab/gemma-3-12b-it
  • use_4bit : False
  • use_lora : True
  • max_seq_length : 3000
  • batch_size : 1
  • gradient_accu : 8
  • epochs : 1
  • learning_rate : 5e-05
  • lora_alpha : 64
  • lora_drop : 0.05
  • lora_r : 64
  • tune_embedding_layer : False
  • hf_token : ********
  • resume_from_checkpoint : True
  • use_8bit_optimizer : True
  • push_to_hub : True

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gemma3-12b-etghan_sft_v1 is an open source model from GitHub that offers a free installation service, and any user can find gemma3-12b-etghan_sft_v1 on GitHub to install. At the same time, huggingface.co provides the effect of gemma3-12b-etghan_sft_v1 install, users can directly use gemma3-12b-etghan_sft_v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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