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README.md
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---
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## Training procedure
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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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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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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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language: en
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tags:
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- llama-2
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- fine-tuning
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- causal-lm
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license: apache-2.0
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# Llama-2-finetune-Elsa
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This is a fine-tuned version of the Llama-2-7b-chat model using the `Remex23/counselchat-llama2-full` dataset.
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