add literature data

We tried to use the GPT3.5 API to integrate the conclusion in the medical literature as external information into multiple rounds of dialogue, and based on this, we fine-tuned the instructions of LLaMA.

scripts/infer-literature-multi.sh

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+#!/bin/sh
+
+# If inferring with the llama model, set 'use_lora' to 'False' and 'prompt_template' to 'ori_template'.
+# If inferring with the default alpaca model, set 'use_lora' to 'True', 'lora_weights' to 'tloen/alpaca-lora-7b', and 'prompt_template' to 'alpaca'.
+# If inferring with the llama-med model, download the LORA weights and set 'lora_weights' to './lora-llama-med' (or the exact directory of LORA weights) and 'prompt_template' to 'med_template'.
+
+"""多轮交互"""
+python infer_literature.py \
+    --base_model 'decapoda-research/llama-7b-hf' \
+    --lora_weights './lora-llama-literature' \
+    --single_or_multi 'multi' \
+    --use_lora True \
+    --prompt_template 'literature_template'

scripts/infer-literature-single.sh

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+#!/bin/sh
+
+# If inferring with the llama model, set 'use_lora' to 'False' and 'prompt_template' to 'ori_template'.
+# If inferring with the default alpaca model, set 'use_lora' to 'True', 'lora_weights' to 'tloen/alpaca-lora-7b', and 'prompt_template' to 'alpaca'.
+# If inferring with the llama-med model, download the LORA weights and set 'lora_weights' to './lora-llama-med' (or the exact directory of LORA weights) and 'prompt_template' to 'med_template'.
+
+"""单轮"""
+python infer_literature.py \
+    --base_model 'decapoda-research/llama-7b-hf' \
+    --lora_weights './lora-llama-literature' \
+    --single_or_multi 'single' \
+    --use_lora True \
+    --prompt_template 'literature_template'