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Browse files- .gitattributes +1 -0
- README-cn.md +138 -0
- README.md +138 -0
- config.json +37 -0
- generation_config.json +7 -0
- measurement.json +0 -0
- model.safetensors.index.json +370 -0
- output.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
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README-cn.md
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1 |
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---
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library_name: transformers
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license: apache-2.0
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+
base_model: mistralai/Mistral-Nemo-Instruct-2407
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tags:
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- roleplay
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- conversational
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- axolotl
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---
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+
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# 残响 MN 12b (第一系列)
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[English](./README.md) | [简体中文](./README-cn.md)
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+
|
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*空气中飘浮着一缕尘埃。它仿佛来自某个逝去的时代,但你无从追溯。它落在你的舌尖,滋味奇妙。*
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+
|
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+

|
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「残响」是一系列专注于SFW与NSFW角色扮演及对话的微调大语言模型。
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+
|
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+
## 量化版本
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GGUF:
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- 待补充!
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+
|
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+
EXL3:
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26 |
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- 待补充!
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+
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+
EXL2:
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- 待补充!
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+
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+
其他格式:
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- 待补充!
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## 推荐配置
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对话模板: Mistral v7 Tekken
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采样器:
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视效果自行调整!
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## 致谢
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特别鸣谢 Allura 和 ilya <3
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衷心感谢 Axolotl(训练框架)、Mistral(基础模型)、Nebius(GPU资源)的开发者们,以及我的银行(感谢它提供的信用卡)
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## 其他
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>查看 axolotl 配置</summary>
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+
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axolotl 版本: `0.8.0.dev0`
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+
```yaml
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# === 模型配置 ===
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base_model: mistralai/Mistral-Nemo-Instruct-2407 # 例如 "mistralai/Mistral-Small-24B-Instruct-2501"
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load_in_8bit: false
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load_in_4bit: false
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+
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# === 训练设置 ===
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num_epochs: 2
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micro_batch_size: 16
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gradient_accumulation_steps: 1
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+
sequence_len: 8192
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sample_packing: true
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pad_to_sequence_len: true
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# === 超参数配置 ===
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optimizer: apollo_adamw
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# Apollo-mini 配置:
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optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
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# 标准 Apollo 配置:
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# optim_args:
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optim_target_modules: all_linear
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learning_rate: 1e-5
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lr_scheduler: rex
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weight_decay: 0.01
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warmup_ratio: 0.05
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75 |
+
# === 数据配置 ===
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datasets:
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- path: allura-org/inkmix-v3.0
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type: chat_template
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79 |
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split: train
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80 |
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field_messages: conversations
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message_field_role: from
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message_field_content: value
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dataset_prepared_path: last_run_prepared
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chat_template: jinja
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chat_template_jinja: |
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87 |
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{{- bos_token }}{%- for message in messages %}
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88 |
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{%- if message['role'] == 'system' %}
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{{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
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{%- elif message['role'] == 'user' %}
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{{- '[INST]' + message['content'] + '[/INST]' }}
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+
{%- elif message['role'] == 'assistant' %}
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93 |
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{{- message['content'] + eos_token }}
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{%- endif %}
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95 |
+
{%- endfor %}
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96 |
+
|
97 |
+
# === 插件 ===
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98 |
+
plugins:
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+
- axolotl.integrations.liger.LigerPlugin
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+
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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+
|
102 |
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# === 硬件优化 ===
|
103 |
+
gradient_checkpointing: unsloth
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gradient_checkpointing_kwargs:
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+
use_reentrant: false
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106 |
+
liger_rope: true
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+
liger_rms_norm: true
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108 |
+
liger_glu_activation: true
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+
cut_cross_entropy: true
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110 |
+
torch_compile: true
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+
# 多 GPU 时启用:
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112 |
+
# deepspeed: [DEEPSPEED_CONFIG_PATH] # 例如 "deepspeed_configs/zero3_bf16.json"
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113 |
+
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114 |
+
# === Wandb 追踪 ===
|
115 |
+
wandb_project: nemo12b-inkmix-v3
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116 |
+
|
117 |
+
# === 检查点 ===
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118 |
+
saves_per_epoch: 2
|
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+
save_total_limit: 3
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+
|
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+
# === 高级设置 ===
|
122 |
+
output_dir: offload
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bf16: auto
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+
flash_attention: true
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+
train_on_inputs: false
|
126 |
+
group_by_length: false
|
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+
logging_steps: 1
|
128 |
+
trust_remote_code: true
|
129 |
+
# nemo 原生不支持系统提示
|
130 |
+
tokens:
|
131 |
+
- "[SYSTEM_PROMPT]"
|
132 |
+
- "[/SYSTEM_PROMPT]"
|
133 |
+
special_tokens:
|
134 |
+
pad_token: "<pad>"
|
135 |
+
|
136 |
+
```
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138 |
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</details>
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README.md
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1 |
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---
|
2 |
+
library_name: transformers
|
3 |
+
license: apache-2.0
|
4 |
+
base_model: mistralai/Mistral-Nemo-Instruct-2407
|
5 |
+
tags:
|
6 |
+
- roleplay
|
7 |
+
- conversational
|
8 |
+
- axolotl
|
9 |
+
---
|
10 |
+
|
11 |
+
# Remnant MN 12b (series 1)
|
12 |
+
|
13 |
+
[English](./README.md) | [简体中文](./README-cn.md)
|
14 |
+
|
15 |
+
*There's a wisp of dust in the air. It feels like its from a bygone era, but you don't know where from. It lands on your tongue. It tastes nice.*
|
16 |
+
|
17 |
+

|
18 |
+
|
19 |
+
Remnant is a series of finetuned LLMs focused on SFW and NSFW roleplaying and conversation.
|
20 |
+
|
21 |
+
## Quants
|
22 |
+
GGUF:
|
23 |
+
- Todo!
|
24 |
+
|
25 |
+
EXL3:
|
26 |
+
- Todo!
|
27 |
+
|
28 |
+
EXL2:
|
29 |
+
- Todo!
|
30 |
+
|
31 |
+
MISC:
|
32 |
+
- Todo!
|
33 |
+
|
34 |
+
## Recommended Settings
|
35 |
+
Chat template: Mistral v7 Tekken
|
36 |
+
Samplers:
|
37 |
+
IDK! Your mileage may vary!
|
38 |
+
|
39 |
+
## Credits
|
40 |
+
Humongous thanks to Allura, ilya <3
|
41 |
+
Big thanks to the developers of Axolotl (whose training framework I used), Mistral (whose model I used), Nebius (whose GPUs I used), and my bank (whose debit card I used)
|
42 |
+
|
43 |
+
## Misc
|
44 |
+
|
45 |
+
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
46 |
+
<details><summary>See axolotl config</summary>
|
47 |
+
|
48 |
+
axolotl version: `0.8.0.dev0`
|
49 |
+
```yaml
|
50 |
+
# === Model Configuration ===
|
51 |
+
base_model: mistralai/Mistral-Nemo-Instruct-2407 # e.g. "mistralai/Mistral-Small-24B-Instruct-2501"
|
52 |
+
load_in_8bit: false
|
53 |
+
load_in_4bit: false
|
54 |
+
|
55 |
+
# === Training Setup ===
|
56 |
+
num_epochs: 2
|
57 |
+
micro_batch_size: 16
|
58 |
+
gradient_accumulation_steps: 1
|
59 |
+
sequence_len: 8192
|
60 |
+
sample_packing: true
|
61 |
+
pad_to_sequence_len: true
|
62 |
+
|
63 |
+
# === Hyperparameter Configuration ===
|
64 |
+
optimizer: apollo_adamw
|
65 |
+
# Apollo-mini configuration:
|
66 |
+
optim_args: "proj=random,rank=1,scale=128.0,scale_type=tensor,update_proj_gap=200"
|
67 |
+
# Regular Apollo configuration:
|
68 |
+
# optim_args:
|
69 |
+
optim_target_modules: all_linear
|
70 |
+
learning_rate: 1e-5
|
71 |
+
lr_scheduler: rex
|
72 |
+
weight_decay: 0.01
|
73 |
+
warmup_ratio: 0.05
|
74 |
+
|
75 |
+
# === Data Configuration ===
|
76 |
+
datasets:
|
77 |
+
- path: allura-org/inkmix-v3.0
|
78 |
+
type: chat_template
|
79 |
+
split: train
|
80 |
+
field_messages: conversations
|
81 |
+
message_field_role: from
|
82 |
+
message_field_content: value
|
83 |
+
|
84 |
+
dataset_prepared_path: last_run_prepared
|
85 |
+
chat_template: jinja
|
86 |
+
chat_template_jinja: |
|
87 |
+
{{- bos_token }}{%- for message in messages %}
|
88 |
+
{%- if message['role'] == 'system' %}
|
89 |
+
{{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
|
90 |
+
{%- elif message['role'] == 'user' %}
|
91 |
+
{{- '[INST]' + message['content'] + '[/INST]' }}
|
92 |
+
{%- elif message['role'] == 'assistant' %}
|
93 |
+
{{- message['content'] + eos_token }}
|
94 |
+
{%- endif %}
|
95 |
+
{%- endfor %}
|
96 |
+
|
97 |
+
# === Plugins ===
|
98 |
+
plugins:
|
99 |
+
- axolotl.integrations.liger.LigerPlugin
|
100 |
+
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
101 |
+
|
102 |
+
# === Hardware Optimization ===
|
103 |
+
gradient_checkpointing: unsloth
|
104 |
+
gradient_checkpointing_kwargs:
|
105 |
+
use_reentrant: false
|
106 |
+
liger_rope: true
|
107 |
+
liger_rms_norm: true
|
108 |
+
liger_glu_activation: true
|
109 |
+
cut_cross_entropy: true
|
110 |
+
torch_compile: true
|
111 |
+
# Only if using multiple GPUs:
|
112 |
+
# deepspeed: [DEEPSPEED_CONFIG_PATH] # e.g. "deepspeed_configs/zero3_bf16.json"
|
113 |
+
|
114 |
+
# === Wandb Tracking ===
|
115 |
+
wandb_project: nemo12b-inkmix-v3
|
116 |
+
|
117 |
+
# === Checkpointing ===
|
118 |
+
saves_per_epoch: 2
|
119 |
+
save_total_limit: 3
|
120 |
+
|
121 |
+
# === Advanced Settings ===
|
122 |
+
output_dir: offload
|
123 |
+
bf16: auto
|
124 |
+
flash_attention: true
|
125 |
+
train_on_inputs: false
|
126 |
+
group_by_length: false
|
127 |
+
logging_steps: 1
|
128 |
+
trust_remote_code: true
|
129 |
+
# nemo doesnt support system prompt ootb
|
130 |
+
tokens:
|
131 |
+
- "[SYSTEM_PROMPT]"
|
132 |
+
- "[/SYSTEM_PROMPT]"
|
133 |
+
special_tokens:
|
134 |
+
pad_token: "<pad>"
|
135 |
+
|
136 |
+
```
|
137 |
+
|
138 |
+
</details>
|
config.json
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@@ -0,0 +1,37 @@
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1 |
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{
|
2 |
+
"architectures": [
|
3 |
+
"MistralForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 1,
|
7 |
+
"eos_token_id": 2,
|
8 |
+
"head_dim": 128,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 5120,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 131072,
|
14 |
+
"model_type": "mistral",
|
15 |
+
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