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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,77 @@
+# DeepSink V1 Adapter
+
+DeepSink V1 是基于 DeepSeek R1 Distill Qwen 7B 的爆仓文学生成器。本仓库存放了该 LoRA Adapter。
+
+## 使用方法
+
+使用 vllm 启动服务:
+
+```bash
+vllm serve deepseek-ai/DeepSeek-R1-Distill-Qwen-7B \
+    --port 8001 \
+    --enforce-eager \
+    --max_model_len 4096 \
+    --enable-lora \
+    --max-lora-rank 128 \
+    --lora-modules deepsink-v1=beautyyuyanli/deepsink-v1-adapter
+```
+
+Base model 也可以使用 `casperhansen/deepseek-r1-distill-qwen-7b-awq`。
+
+使用 OpenAI API 调用:
+
+```python
+from openai import OpenAI
+
+oai = OpenAI(api_key="DUMMY", base_url="http://localhost:8001/v1")
+
+response = oai.chat.completions.create(
+    model="deepsink-v1",
+    messages=[
+        {
+            "role": "user",
+            "content": "依据给定的主题，写一篇爆仓文学：2077年川普胜选连任导致“XI币”暴跌爆仓",
+        },
+    ],
+    temperature=0.9,
+    top_p=0.7,
+    presence_penalty=1.2,
+    stream=True,
+)
+
+for chunk in response:
+    print(chunk.choices[0].delta.content, end="", flush=True)
+```
+
+prompt 格式为 `依据给定的主题，写一篇爆仓文学：{主题}`。
+
+## 样例
+
+<details>
+<summary>依据给定的主题，写一篇爆仓文学：2077年川普胜选连任导致“XI币”暴跌爆仓</summary>
+<"think">
+我应该这样设计写作思路:首先,我要构建一个以2077年为背景,并涉及川普连任导致“XI币”暴跌爆仓的高风险投资故事。为了增强故事的紧张感和现实感,我决定采用倒叙和插叙结合的方式,从主人公被强制平仓的当下开始,逐步揭示他 how the story unfolds.  我要运用大量的细节描写,例如环境、声音、感官等,来营造真实的场景,比如断网的手机、刺眼的红光等。
+
+在情节设计上,我会注重故事的起承转合,通过关键事件(如抵押贷款、投资、初爆、后续追责)来推动剧情发展。同时,我会运用一些象征性的元素,例如霓虹灯象征着希望与光明,而红光则暗示着危机和警示。为了更有效地传达人物的内心活动,我需要运用一些文学技巧,例如隐喻、象征、对比等,让读者能够更深入地理解人物的情感变化。
+
+在情感表达方面,我会通过人物的内心独白和动作来展现其情绪,例如主人公在地铁里焦虑的颤抖、手机推送的新闻等。我会设置一个主要的冲突——即川普连任导致的市场崩盘,以及由此引发的连锁反应,来增强故事的悲剧色彩。同时,我也会通过细节描写,例如银行账户余额、抵押合同等,来强化人物的经济压力,从而更有效地传达他们的痛苦和绝望。
+
+为了使故事更具张力,我会穿插一些伏笔,例如开头提到的家人被指控,以及末段出现的家人被逮捕的细节,这些都会增加故事的悬疑氛围。此外,我会使用一些技术性的术语,例如“16倍杠杆”、“K线图”等,来增强故事的专业性,并反映主人公的专业背景。
+
+最后,我会对故事进行多角度的反思,探讨个人贪婪、社会问题以及科技对人类的影响,以此提升故事的深度和思想性。我会确保故事不仅有情节上的起伏,还有在情感和思考上的双重满足。
+<"/think">
+
+地铁站里突然亮起红光,手机推送的新闻弹窗刚弹出就被覆盖。屏幕右下角跳动着"爆仓通知",抵押贷款的16倍杠杆已经击穿0.84美元的强平线。我握着冰凉的金属门把手,喉咙发紧的时候,听见身后的火车轰鸣声越来越近。
+
+三个月前还说好的XICoin能破30,现在账户余额只显示0.25。最可笑的是项目方明明承诺的12小时出K线图,三天后就有人发出了第24个垂直跌停。我在工位上敲代码时看见经理冲进办公室,他手指砸键盘的声音清脆得像是砸向屏幕。
+
+其实第一次接触加密货币是在三月,用自己学C++赚的五万块。我把钱全换成了XICoin,当它冲到0.92的时候开16倍多单,四小时就浮盈两百万。后来发现是做市商的算法漏洞,但是该换的单子还是先换了十倍,到0.84的时候又加了两百万保证金。
+
+昨天晚上给银行打电话,催收员第三次强调要加大执行力度。他们之前抵押我的 apartment,说是做空头寸追加保证金。现在账户里有12.7万,其中一半是三年前LTC老用户推荐的"社区治理"计划,现在变成债务。
+
+最让我崩溃的是川普连任的消息。六月初推特突然弹出交易量激增的提示,这个做市商原本就不是专业团队。当价格跌破0.84的支撑位时,我却因为1000元的手续费差错而亏了整整两百万。那天晚上查了十分钟 BINANCE的K线图,发现三个月前的突破都是分时图的假突破,而我正好在所有平台都看到社区成员在喊"再反抽0.88"。
+
+现在护士带着拿着《The New York Times》的老人走进电梯,她紫色的药袋掉在地上碎成一堆。电梯门开了又关,空调吹来的风裹挟着塑料袋的刺鼻气味。我在墙角看着墙壁上贴着的窗户玻璃,镜面上映出走廊的红光,像是打翻了的酒瓶。
+
+桌上还放着今天刚签完的抵押合同,最后一栏写着"由BENJAMIN WILSON负责监控"。我摸了摸口袋里的信用卡,刷掉的金额刚好够买下一周的麦片和咖啡。
+</details>

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 256,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "down_proj",
+    "gate_proj",
+    "q_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dbcade2f7cf336b3060f16c733519311502a11c078f1c5b207c3e306b13c5ef1
+size 1291899160

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
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+      "lstrip": false,
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+      "single_word": false,
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+    },
+    "151646": {
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+    },
+    "151647": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "151649": {
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+      "normalized": false,
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}