初始化项目，由ModelHub XC社区提供模型

Model: mostafaamiri/persian_llama_7B_merged
Source: Original Platform

README.md

@@ -0,0 +1,34 @@
+---
+license: bsd
+datasets:
+- vicgalle/alpaca-gpt4
+language:
+- fa
+metrics:
+- accuracy
+pipeline_tag: text-generation
+---
+This model is Llama2-7B fine-tuned model which trained on farsi-wiki(approximately 180 milion token) and translated ALPACA dataset.
+We extend tokenizer by 19954 new token with BPE algorithm running on persian dataset.
+
+Use this code to run model on you input:
+```
+from transformers import AutoTokenizer, LlamaModelForCausalLM
+
+model = LlamaModelForCausalLM.from_pretrained("mostafaamiri/persian_llama_7B_merged")
+tokenizer = AutoTokenizer.from_pretrained(""mostafaamiri/persian_llama_7B_merged"")
+
+instruction = "برای رفتن به کوهنوردی چه وسایلی را با خود ببرم؟"
+prompt = [
+      """Below is an instruction that describes a task.
+      Write a response that appropriately completes the request.\n\n
+      ### Instruction:\n\n{instruction}\n\n\n### Response:\n\n\n"""
+]
+
+model.to("cuda")
+generated_ids = model.generate(**tokenizer(prompt, return_tensors='pt').to("cuda"))
+print(tokenizer.batch_decode(generated_ids)[0])
+
+```
+
+