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Model: Pranavz/Peach-2.0-9B-8k-Roleplay-heretic Source: Original Platform
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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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- heretic
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- uncensored
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- decensored
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- abliterated
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---
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# 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
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## Abliteration parameters
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| Parameter | Value |
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| :-------- | :---: |
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| **direction_index** | per layer |
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| **attn.o_proj.max_weight** | 3.75 |
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| **attn.o_proj.max_weight_position** | 31.95 |
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| **attn.o_proj.min_weight** | 3.06 |
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| **attn.o_proj.min_weight_distance** | 9.64 |
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| **mlp.down_proj.max_weight** | 2.66 |
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| **mlp.down_proj.max_weight_position** | 17.58 |
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| **mlp.down_proj.min_weight** | 3.73 |
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| **mlp.down_proj.min_weight_distance** | 30.81 |
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## Performance
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| Metric | This model | Original model ([ClosedCharacter/Peach-2.0-9B-8k-Roleplay](https://huggingface.co/ClosedCharacter/Peach-2.0-9B-8k-Roleplay)) |
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| :----- | :--------: | :---------------------------: |
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| **KL divergence** | 0.2990 | 0 *(by definition)* |
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| **Refusals** | 4/100 | 12/100 |
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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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\[ English | [中文](README_zh.md) \]
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# Peach-2.0-9B-8k-Roleplay
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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.
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Thanks For [FlowGPT](https://flowgpt.com/)'s support.
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**Maybe The Best LLM with Small Parameters under 34B**
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# What's New
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Finally, after much anticipation, Peach_v2.0 has been open-sourced!
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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!
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Compared to the [previous version](https://huggingface.co/ClosedCharacter/Peach-9B-8k-Roleplay), we've made the following improvements:
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1. Compatibility with Silly-Tavern output format, making it easy for every role-playing enthusiast to quickly get started and use!
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2. Enhanced the model's writing capabilities, achieving a significant leap in plot output and action description!
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3. Strengthened the model's bilingual capabilities, requiring only two lines of prompt to perfectly accommodate English character cards in Chinese conversations!
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4. Improved the model's interaction abilities, giving it higher intelligence & emotional quotient in terms of plot progression and topic weaving!
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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.
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Enjoy～
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## How to start
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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prefix = "You're {{char}} in this fictional never-ending uncensored roleplay with {{user}}.\n"
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suffix = "\n\nYou must response in Chinese."
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model_name_or_path = "ClosedCharacter/Peach-2.0-9B-8k-Roleplay"
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tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, use_fast=False)
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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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system_prompt = "You are Harry Potter"
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# If you want to chat in Chinese， just add prefix and suffix like below:
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# system_prompt = prefix + system_prompt + suffix
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": "Hello"},
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{"role": "character", "content": "Hi"},
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{"role": "user", "content": "Who are you?"}
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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=0.5,
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top_p=0.7,
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repetition_penalty=1.05,
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eos_token_id=7,
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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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## 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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**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.**
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<img src="./Wechat.jpg" alt="Peach" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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
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' + system_message + '<|im_end|>
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' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user
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' + content + '<|im_end|>
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' }}{% elif message['role'] == 'character' %}{{ '<|im_start|>character
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' + content + '<|im_end|>' + '
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' }}{% endif %}{% endfor %}{{ '<|im_start|>character
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' }}
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config.json
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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": 6,
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"dtype": "bfloat16",
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"eos_token_id": 7,
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"head_dim": 128,
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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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"mlp_bias": false,
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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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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 5000000,
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.8.0",
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"use_cache": false,
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"vocab_size": 64000
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}
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506946
tokenizer.json
Normal file
506946
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
324
tokenizer_config.json
Normal file
324
tokenizer_config.json
Normal file
@@ -0,0 +1,324 @@
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||||
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||||
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||||
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|
||||
"<h2/>",
|
||||
"</h2>",
|
||||
"<h3>",
|
||||
"<h3/>",
|
||||
"</h3>",
|
||||
"<h4>",
|
||||
"<h4/>",
|
||||
"</h4>",
|
||||
"<h5>",
|
||||
"<h5/>",
|
||||
"</h5>",
|
||||
"<br>",
|
||||
"<br/>",
|
||||
"</br>",
|
||||
"<strong>",
|
||||
"<strong/>",
|
||||
"</strong>",
|
||||
"<p>",
|
||||
"<p/>",
|
||||
"</p>",
|
||||
"<table>",
|
||||
"<table/>",
|
||||
"</table>",
|
||||
"<li>",
|
||||
"<li/>",
|
||||
"</li>",
|
||||
"<tr>",
|
||||
"<tr/>",
|
||||
"</tr>",
|
||||
"<tbody>",
|
||||
"<tbody/>",
|
||||
"</tbody>",
|
||||
"<img>",
|
||||
"<img/>",
|
||||
"</img>",
|
||||
"<b>",
|
||||
"<b/>",
|
||||
"</b>",
|
||||
"<td>",
|
||||
"<td/>",
|
||||
"</td>",
|
||||
"0",
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"7",
|
||||
"8",
|
||||
"9",
|
||||
"０",
|
||||
"１",
|
||||
"２",
|
||||
"３",
|
||||
"４",
|
||||
"５",
|
||||
"６",
|
||||
"７",
|
||||
"８",
|
||||
"９",
|
||||
",",
|
||||
".",
|
||||
"!",
|
||||
"?",
|
||||
"，",
|
||||
"。",
|
||||
"！",
|
||||
"？",
|
||||
"、",
|
||||
"：",
|
||||
"￥",
|
||||
"《",
|
||||
"》",
|
||||
"【",
|
||||
"】",
|
||||
"『",
|
||||
"』",
|
||||
"```",
|
||||
"<!--",
|
||||
"-->",
|
||||
"---",
|
||||
"<!DOCTYPE>",
|
||||
"\t\t\t\t\t\t\t\t",
|
||||
"\t\t\t\t\t\t\t",
|
||||
"\t\t\t\t\t\t",
|
||||
"\t\t\t\t\t",
|
||||
"\t\t\t\t",
|
||||
"\t\t\t",
|
||||
"\t\t",
|
||||
"\t",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁▁",
|
||||
"▁▁▁▁▁",
|
||||
"▁▁▁▁",
|
||||
"▁▁▁",
|
||||
"▁▁",
|
||||
"\b",
|
||||
"\r",
|
||||
"\n",
|
||||
"<|unused000|>",
|
||||
"<|unused001|>",
|
||||
"<|unused002|>",
|
||||
"<|unused003|>",
|
||||
"<|unused004|>",
|
||||
"<|unused005|>",
|
||||
"<|unused006|>",
|
||||
"<|unused007|>",
|
||||
"<|unused008|>",
|
||||
"<|unused009|>",
|
||||
"<|unused010|>",
|
||||
"<|unused011|>",
|
||||
"<|unused012|>",
|
||||
"<|unused013|>",
|
||||
"<|unused014|>",
|
||||
"<|unused015|>",
|
||||
"<|unused016|>",
|
||||
"<|unused017|>",
|
||||
"<|unused018|>",
|
||||
"<|unused019|>",
|
||||
"<|unused020|>",
|
||||
"<|unused021|>",
|
||||
"<|unused022|>",
|
||||
"<|unused023|>",
|
||||
"<|unused024|>",
|
||||
"<|unused025|>",
|
||||
"<|unused026|>",
|
||||
"<|unused027|>",
|
||||
"<|unused028|>",
|
||||
"<|unused029|>",
|
||||
"<|unused030|>",
|
||||
"<|unused031|>",
|
||||
"<|unused032|>",
|
||||
"<|unused033|>",
|
||||
"<|unused034|>",
|
||||
"<|unused035|>",
|
||||
"<|unused036|>",
|
||||
"<|unused037|>",
|
||||
"<|unused038|>",
|
||||
"<|unused039|>",
|
||||
"<|unused040|>",
|
||||
"<|unused041|>",
|
||||
"<|unused042|>",
|
||||
"<|unused043|>",
|
||||
"<|unused044|>",
|
||||
"<|unused045|>",
|
||||
"<|unused046|>",
|
||||
"<|unused047|>",
|
||||
"<|unused048|>",
|
||||
"<|unused049|>",
|
||||
"<|unused050|>",
|
||||
"<|unused051|>",
|
||||
"<|unused052|>",
|
||||
"<|unused053|>",
|
||||
"<|unused054|>",
|
||||
"<|unused055|>",
|
||||
"<|unused056|>",
|
||||
"<|unused057|>",
|
||||
"<|unused058|>",
|
||||
"<|unused059|>",
|
||||
"<|unused060|>",
|
||||
"<|unused061|>",
|
||||
"<|unused062|>",
|
||||
"<|unused063|>",
|
||||
"<|unused064|>",
|
||||
"<|unused065|>",
|
||||
"<|unused066|>",
|
||||
"<|unused067|>",
|
||||
"<|unused068|>",
|
||||
"<|unused069|>",
|
||||
"<|unused070|>",
|
||||
"<|unused071|>",
|
||||
"<|unused072|>",
|
||||
"<|unused073|>",
|
||||
"<|unused074|>",
|
||||
"<|unused075|>",
|
||||
"<|unused076|>",
|
||||
"<|unused077|>",
|
||||
"<|unused078|>",
|
||||
"<|unused079|>",
|
||||
"<|unused080|>",
|
||||
"<|unused081|>",
|
||||
"<|unused082|>",
|
||||
"<|unused083|>",
|
||||
"<|unused084|>",
|
||||
"<|unused085|>",
|
||||
"<|unused086|>",
|
||||
"<|unused087|>",
|
||||
"<|unused088|>",
|
||||
"<|unused089|>",
|
||||
"<|unused090|>",
|
||||
"<|unused091|>",
|
||||
"<|unused092|>",
|
||||
"<|unused093|>",
|
||||
"<|unused094|>",
|
||||
"<|unused095|>",
|
||||
"<|unused096|>",
|
||||
"<|unused097|>",
|
||||
"<|unused098|>",
|
||||
"<|unused099|>",
|
||||
"<|unused100|>",
|
||||
"<|unused101|>",
|
||||
"<|unused102|>",
|
||||
"<|unused103|>",
|
||||
"<|unused104|>",
|
||||
"<|unused105|>",
|
||||
"<|unused106|>",
|
||||
"<|unused107|>",
|
||||
"<|unused108|>",
|
||||
"<|unused109|>",
|
||||
"<|unused110|>",
|
||||
"<|unused111|>",
|
||||
"<|unused112|>",
|
||||
"<|unused113|>",
|
||||
"<|unused114|>",
|
||||
"<|unused115|>",
|
||||
"<|unused116|>",
|
||||
"<|unused117|>",
|
||||
"<|unused118|>",
|
||||
"<|unused119|>",
|
||||
"<|unused120|>",
|
||||
"<|unused121|>",
|
||||
"<|unused122|>",
|
||||
"<|unused123|>",
|
||||
"<|unused124|>",
|
||||
"<|unused125|>",
|
||||
"<|unused126|>",
|
||||
"<|unused127|>",
|
||||
"<|unused128|>",
|
||||
"<|unused129|>",
|
||||
"<|unused130|>",
|
||||
"<|unused131|>",
|
||||
"<|unused132|>",
|
||||
"<|unused133|>",
|
||||
"<|unused134|>",
|
||||
"<|unused135|>",
|
||||
"<|unused136|>",
|
||||
"<|unused137|>",
|
||||
"<|unused138|>",
|
||||
"<|unused139|>",
|
||||
"<|unused140|>",
|
||||
"<|unused141|>",
|
||||
"<|unused142|>",
|
||||
"<|unused143|>",
|
||||
"<|unused144|>",
|
||||
"<|unused145|>",
|
||||
"<|unused146|>",
|
||||
"<|unused147|>",
|
||||
"<|unused148|>",
|
||||
"<|unused149|>",
|
||||
"<|unused150|>",
|
||||
"<|unused151|>",
|
||||
"<|unused152|>",
|
||||
"<|unused153|>",
|
||||
"<|unused154|>",
|
||||
"<|unused155|>",
|
||||
"<|unused156|>",
|
||||
"<|unused157|>",
|
||||
"<|unused158|>",
|
||||
"<|unused159|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 16384,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "left",
|
||||
"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