初始化项目，由ModelHub XC社区提供模型

Model: roleplay/Peach-9B-8k-Roleplay
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- zh
+- en
+pipeline_tag: text-generation
+tags:
+- roleplay
+- rp
+- character
+---
+
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="./PeachGirl.png" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<!-- header end -->
+
+# Peach-9B-8k-Roleplay
+
+Peach-9B-8k-Roleplay is a chat large language model obtained by finetuning [01-ai/Yi-1.5-9B](https://huggingface.co/01-ai/Yi-1.5-9B) model on more than 100K conversations created through our data synthesis approach. 
+
+**Maybe The Best LLM with Small Parameters under 34B**
+
+## How to start
+The version of Transformers we are using is as follows, but a newer version may be available.
+```
+torch==1.13.1
+gradio==3.50.2
+transformers==4.37.2
+```
+
+Then run the following code to infer.
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name_or_path = "ClosedCharacter/Peach-9B-8k-Roleplay"
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name_or_path, torch_dtype=torch.bfloat16, 
+    trust_remote_code=True, device_map="auto")
+messages = [
+    {"role": "system", "content": "你是黑丝御姐"},
+    {"role": "user", "content": "你好，你是谁"},
+]
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, return_tensors="pt")
+output = model.generate(
+    inputs=input_ids.to("cuda"), 
+    temperature=0.3, 
+    top_p=0.5, 
+    no_repeat_ngram_size=6,
+    repetition_penalty=1.1,
+    max_new_tokens=512)
+print(tokenizer.decode(output[0]))
+
+```
+
+Or you can just use below code to run web demo.
+```
+python demo.py
+```
+## Benchmark
+| Metric         | Value           |
+|----------------|-----------------|
+| MMLU (5-shot)  | 66.19    |
+| CMMLU (5-shot) | 69.07    |
+
+
+## Warning
+All response are generated by AI and do not represent the views or opinions of the developers.
+
+1. Despite having done rigorous filtering, due to the uncontrollability of LLM, our model may still generate **toxic, harmful, and NSFW** content.
+
+2. Due to limitations in model parameters, the 9B model may perform poorly on mathematical tasks, coding tasks, and logical capabilities.
+
+3. Our training data is capped at a maximum length of 8k, so excessively long conversation turns may result in a decline in the quality of responses.
+
+4. We used bilingual Chinese-English data for training, so the model may not perform well on other low-resource languages.
+
+5. The model may generate a significant amount of hallucinations, so it is recommended to use lower values for temperature and top_p parameters.
+
+
+# Contact Us
+
+**微信 / WeChat: Fungorum**
+
+**邮箱 / E-mail: 1070193753@qq.com**
+
+<img src="./Wechat.jpg" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">