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README.md

@@ -1,14 +1,20 @@
-model_card = """
 ---
-language: en
-tags:
-- llama-2
-- fine-tuning
-- causal-lm
-license: apache-2.0
+library_name: peft
 ---
+## Training procedure
 
-# Llama-2-finetune-Elsa
 
-This is a fine-tuned version of the Llama-2-7b-chat model using the `Remex23/counselchat-llama2-full` dataset.
-"""
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+### Framework versions
+
+
+- PEFT 0.4.0