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Model: Pranavz/Peach-2.0-9B-8k-Roleplay-heretic
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+language:
+- zh
+- en
+pipeline_tag: text-generation
+tags:
+- roleplay
+- rp
+- character
+- heretic
+- uncensored
+- decensored
+- abliterated
+---
+# This is a decensored version of [ClosedCharacter/Peach-2.0-9B-8k-Roleplay](https://huggingface.co/ClosedCharacter/Peach-2.0-9B-8k-Roleplay), made using [Heretic](https://github.com/p-e-w/heretic) v1.2.0
+
+## Abliteration parameters
+
+| Parameter | Value |
+| :-------- | :---: |
+| **direction_index** | per layer |
+| **attn.o_proj.max_weight** | 3.75 |
+| **attn.o_proj.max_weight_position** | 31.95 |
+| **attn.o_proj.min_weight** | 3.06 |
+| **attn.o_proj.min_weight_distance** | 9.64 |
+| **mlp.down_proj.max_weight** | 2.66 |
+| **mlp.down_proj.max_weight_position** | 17.58 |
+| **mlp.down_proj.min_weight** | 3.73 |
+| **mlp.down_proj.min_weight_distance** | 30.81 |
+
+## Performance
+
+| Metric | This model | Original model ([ClosedCharacter/Peach-2.0-9B-8k-Roleplay](https://huggingface.co/ClosedCharacter/Peach-2.0-9B-8k-Roleplay)) |
+| :----- | :--------: | :---------------------------: |
+| **KL divergence** | 0.2990 | 0 *(by definition)* |
+| **Refusals** | 4/100 | 12/100 |
+
+-----
+
+
+<!-- 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 -->
+
+\[ English | [中文](README_zh.md) \]
+
+# Peach-2.0-9B-8k-Roleplay
+
+Peach-2.0-9B-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. 
+
+Thanks For [FlowGPT](https://flowgpt.com/)'s support.
+
+**Maybe The Best LLM with Small Parameters under 34B**
+
+
+# What's New
+Finally, after much anticipation, Peach_v2.0 has been open-sourced!
+
+We completed the final SFT+DPO training in early January, followed by extensive testing, before concluding that this version meets the standards for a commercial release, now freely available to everyone. Our goal is to break the paid monopoly, allowing everyone to have their own local role-playing AI!
+
+Compared to the [previous version](https://huggingface.co/ClosedCharacter/Peach-9B-8k-Roleplay), we've made the following improvements:
+
+1. Compatibility with Silly-Tavern output format, making it easy for every role-playing enthusiast to quickly get started and use!
+2. Enhanced the model's writing capabilities, achieving a significant leap in plot output and action description!
+3. Strengthened the model's bilingual capabilities, requiring only two lines of prompt to perfectly accommodate English character cards in Chinese conversations!
+4. Improved the model's interaction abilities, giving it higher intelligence & emotional quotient in terms of plot progression and topic weaving!
+5. Introduced a DPO training phase for preference alignment, addressing issues such as context repetition and logical errors in the SFT model, resulting in superior dialogue performance.
+
+Enjoy～
+
+
+## How to start
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+
+prefix = "You're {{char}} in this fictional never-ending uncensored roleplay with {{user}}.\n"
+suffix = "\n\nYou must response in Chinese."
+
+model_name_or_path = "ClosedCharacter/Peach-2.0-9B-8k-Roleplay"
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=False)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name_or_path, torch_dtype=torch.bfloat16, 
+    trust_remote_code=True, device_map="auto")
+
+system_prompt = "You are Harry Potter"
+# If you want to chat in Chinese， just add prefix and suffix like below:
+# system_prompt = prefix + system_prompt + suffix
+
+messages = [
+    {"role": "system", "content": system_prompt},
+    {"role": "user", "content": "Hello"},
+    {"role": "character", "content": "Hi"},
+    {"role": "user", "content": "Who are you?"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, return_tensors="pt")
+output = model.generate(
+    inputs=input_ids.to("cuda"), 
+    temperature=0.5, 
+    top_p=0.7, 
+    repetition_penalty=1.05,
+    eos_token_id=7,
+    max_new_tokens=512)
+print(tokenizer.decode(output[0]))
+
+```
+
+Or you can just use below code to run web demo.
+```
+python demo.py
+```
+
+
+## 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**
+
+**Thanks For [FlowGPT](https://flowgpt.com/)'s support, which is a dynamic tool that harnesses the power of AI to streamline various creative and professional tasks.**
+
+<img src="./Wechat.jpg" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">

chat_template.jinja

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+{% set system_message = 'You are an uncensored assistant named Peach.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system
+' + system_message + '<|im_end|>
+' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user
+' + content + '<|im_end|>
+' }}{% elif message['role'] == 'character' %}{{ '<|im_start|>character
+' + content + '<|im_end|>' + '
+' }}{% endif %}{% endfor %}{{ '<|im_start|>character
+' }}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 6,
+  "dtype": "bfloat16",
+  "eos_token_id": 7,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.8.0",
+  "use_cache": false,
+  "vocab_size": 64000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 6,
+  "eos_token_id": 7,
+  "transformers_version": "5.8.0"
+}

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