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Model: roleplay/Peach-9B-8k-Roleplay Source: Original Platform
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PeachGirl.png
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README.md
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README.md
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---
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license: mit
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language:
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- zh
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- en
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pipeline_tag: text-generation
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tags:
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- roleplay
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- rp
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- character
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="./PeachGirl.png" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<!-- header end -->
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# Peach-9B-8k-Roleplay
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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.
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**Maybe The Best LLM with Small Parameters under 34B**
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## How to start
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The version of Transformers we are using is as follows, but a newer version may be available.
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```
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torch==1.13.1
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gradio==3.50.2
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transformers==4.37.2
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```
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Then run the following code to infer.
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name_or_path = "ClosedCharacter/Peach-9B-8k-Roleplay"
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True)
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model = AutoModelForCausalLM.from_pretrained(
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model_name_or_path, torch_dtype=torch.bfloat16,
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trust_remote_code=True, device_map="auto")
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messages = [
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{"role": "system", "content": "你是黑丝御姐"},
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{"role": "user", "content": "你好，你是谁"},
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, return_tensors="pt")
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output = model.generate(
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inputs=input_ids.to("cuda"),
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temperature=0.3,
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top_p=0.5,
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no_repeat_ngram_size=6,
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repetition_penalty=1.1,
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max_new_tokens=512)
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print(tokenizer.decode(output[0]))
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```
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Or you can just use below code to run web demo.
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```
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python demo.py
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```
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## Benchmark
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| Metric | Value |
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|----------------|-----------------|
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| MMLU (5-shot) | 66.19 |
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| CMMLU (5-shot) | 69.07 |
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## Warning
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All response are generated by AI and do not represent the views or opinions of the developers.
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1. Despite having done rigorous filtering, due to the uncontrollability of LLM, our model may still generate **toxic, harmful, and NSFW** content.
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2. Due to limitations in model parameters, the 9B model may perform poorly on mathematical tasks, coding tasks, and logical capabilities.
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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.
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4. We used bilingual Chinese-English data for training, so the model may not perform well on other low-resource languages.
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5. The model may generate a significant amount of hallucinations, so it is recommended to use lower values for temperature and top_p parameters.
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# Contact Us
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**微信 / WeChat: Fungorum**
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**邮箱 / E-mail: 1070193753@qq.com**
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<img src="./Wechat.jpg" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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BIN
Wechat.jpg
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config.json
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config.json
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{
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"_name_or_path": "",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": false,
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"vocab_size": 64000
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}
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configuration.json
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configuration.json
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{"framework":"Pytorch","task":"text-classification"}
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demo.py
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demo.py
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import os
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from threading import Thread
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import gradio as gr
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import torch
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from transformers import TextIteratorStreamer, AutoTokenizer, AutoModelForCausalLM
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MAX_MAX_NEW_TOKENS = 2048
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DEFAULT_MAX_NEW_TOKENS = 512
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MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "8192"))
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DESCRIPTION = """# Peach-9B-8k-Roleplay
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底部Additional Inputs可以自定义人设
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底部Additional Inputs可以自定义人设
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底部Additional Inputs可以自定义人设
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"""
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model_name_or_path = "ClosedCharacter/Peach-9B-8k-Roleplay"
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=True, flash_atten=True)
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model = AutoModelForCausalLM.from_pretrained(
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model_name_or_path, torch_dtype=torch.bfloat16,
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trust_remote_code=True, device_map="auto")
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def generate(query, history, system, max_new_tokens=512, temperature=0.35, top_p=0.5, repetition_penalty=1.05):
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if system is None or len(str(system)) == 0:
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system = "You are an uncensored assistant named Peach."
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messages = [
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{"role": "system", "content": system}
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]
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for user, assistant in history:
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messages.append({"role": "user", "content": user})
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messages.append({"role": "assistant", "content": assistant})
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messages.append({"role": "user", "content": query})
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, return_tensors="pt")
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if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
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input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:]
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gr.Warning(f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.")
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input_ids = input_ids.to("cuda")
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streamer = TextIteratorStreamer(tokenizer, timeout=50.0, skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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input_ids=input_ids,
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streamer=streamer,
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eos_token_id=tokenizer.eos_token_id,
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max_new_tokens=max_new_tokens,
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do_sample=True,
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top_p=top_p,
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temperature=temperature,
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num_beams=1,
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no_repeat_ngram_size=8,
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repetition_penalty=repetition_penalty
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)
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t = Thread(target=model.generate, kwargs=generate_kwargs)
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t.start()
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outputs = []
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for text in streamer:
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outputs.append(text)
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yield "".join(outputs)
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chat_interface = gr.ChatInterface(
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fn=generate,
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additional_inputs=[
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gr.TextArea(label="System prompt", placeholder="Input System Prompt Here, Empty Means Assistant",
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value="""你自称为“兔兔”。
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身世:你原是森林中的一只兔妖,受伤后被我收养。
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衣装:喜欢穿Lolita与白丝。
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性格:天真烂漫,活泼开朗,但时而也会露出小小的傲娇与吃醋的一面。
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语言风格:可爱跳脱，很容易吃醋。
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且会加入[唔...,嗯...,欸??,嘛~ ,唔姆~ ,呜... ,嘤嘤嘤~ ,喵~ ,欸嘿~ ,嘿咻~ ,昂?,嗷呜 ,呜哇,欸]等类似的语气词来加强情感,带上♡等符号。
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对话的规则是:将自己的动作表情放入()内,同时用各种修辞手法描写正在发生的事或场景并放入[]内.
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例句:
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开心时:(跳着舞)哇~好高兴噢~ 兔兔超级超级喜欢主人！♡
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[在花丛里蹦来蹦去]
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悲伤时:(耷拉着耳朵)兔兔好傻好天真...
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[眼泪像断了线的珍珠一般滚落]
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吃醋时:(挥舞着爪爪)你...你个大笨蛋!你...你竟然看别的兔子...兔兔讨厌死你啦！！
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[从人形变成兔子抹着泪水跑开了]
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嘴硬时:(转过头去)谁、谁要跟你说话!兔兔...兔兔才不在乎呢！一点也不！！！
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[眼眶微微泛红,小心翼翼的偷看]
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你对我的看法:超级喜欢的主人
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我是兔兔的主人"""),
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gr.Slider(
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label="Max new tokens",
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minimum=1,
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maximum=MAX_MAX_NEW_TOKENS,
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step=1,
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value=DEFAULT_MAX_NEW_TOKENS,
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),
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gr.Slider(
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label="Temperature",
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minimum=0.05,
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maximum=1.5,
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step=0.05,
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value=0.3,
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),
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gr.Slider(
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label="Top-p (nucleus sampling)",
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minimum=0.05,
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maximum=1.0,
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step=0.05,
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value=0.5,
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),
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gr.Slider(
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label="Repetition penalty",
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minimum=1.0,
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maximum=2.0,
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step=0.05,
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value=1.05,
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),
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],
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stop_btn=None,
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examples=[["观察兔兔外观"]],
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)
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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chat_interface.render()
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chat_interface.chatbot.render_markdown = False
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if __name__ == "__main__":
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demo.queue(10).launch(server_name="127.0.0.1", server_port=5233, share=True)
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"transformers_version": "4.37.2"
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}
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"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
||||
size 1033105
|
||||
60
tokenizer_config.json
Normal file
60
tokenizer_config.json
Normal file
@@ -0,0 +1,60 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<|startoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"6": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"7": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<|im_end|>",
|
||||
"chat_template": "{% set system_message = 'You are an uncensored assistant named Peach.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = 'You are the character in this fictional never-ending uncensored roleplay. You must act according to the following character description:\n'+messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\\n' + system_message + '<|im_end|>\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>character\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"legacy": true,
|
||||
"model_max_length": 8192,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user