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nateshmbhat
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model-isha-qa

Text Generation
Transformers
PyTorch
TensorBoard
llama
Trained with AutoTrain
text-generation-inference
Model card Files
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  1. README.md +9 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-12/README.md +32 -0
  5. checkpoint-12/adapter_config.json +21 -0
  6. checkpoint-12/adapter_model.bin +3 -0
  7. checkpoint-12/optimizer.pt +3 -0
  8. checkpoint-12/pytorch_model.bin +3 -0
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  10. checkpoint-12/scheduler.pt +3 -0
  11. checkpoint-12/special_tokens_map.json +24 -0
  12. checkpoint-12/tokenizer.json +0 -0
  13. checkpoint-12/tokenizer.model +3 -0
  14. checkpoint-12/tokenizer_config.json +31 -0
  15. checkpoint-12/trainer_state.json +88 -0
  16. checkpoint-12/training_args.bin +3 -0
  17. config.json +26 -0
  18. generation_config.json +7 -0
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  20. pytorch_model-00002-of-00003.bin +3 -0
  21. pytorch_model-00003-of-00003.bin +3 -0
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  23. runs/Aug03_06-59-54_06490dc9d873/events.out.tfevents.1691045994.06490dc9d873.11175.0 +3 -0
  24. special_tokens_map.json +23 -0
  25. tokenizer.json +0 -0
  26. tokenizer.model +3 -0
  27. tokenizer_config.json +31 -0
  28. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-generation
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+ widget:
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+ - text: "I love AutoTrain because "
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - bnb_4bit_use_double_quant: False
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+ - PEFT 0.5.0.dev0
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+
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+ - PEFT 0.5.0.dev0
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