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Model: zzoceanpie/Qwen3-1.7B-Yukari-SFT Source: Original Platform
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Qwen3-1.7B-Yukari-SFT-f16.gguf
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Qwen3-1.7B-Yukari-SFT-f16.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c076373ec3ea0d8e1850c6ee1a4e61d61721a457a009fbf7273360c43c1f57e
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size 3447348928
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README.md
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README.md
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---
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base_model: Qwen/Qwen3-1.7B
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library_name: transformers
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tags:
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- qlora
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- roleplay
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- qwen
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- sft
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- touhou
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- character-roleplay
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- synthetic-data
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- generated_from_trainer
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language:
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- zh
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license: apache-2.0
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---
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# Qwen3-1.7B-Yukari-SFT
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八云紫 (Yukari Yakumo) 角色扮演模型 — SFT 初版(已被 SFT-v2 取代)。
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## 模型信息
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| 项目 | 值 |
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|------|-----|
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| 基座 | [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) |
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| 方法 | QLoRA 4-bit NF4 (双重量化), bf16 |
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| LoRA | **r=8, alpha=8**, target: q/k/v/o/gate/up/down proj |
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| 数据 | 3,691 条合成 SFT 对话 (MiMo-V2.5-Pro 生成) |
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| 硬件 | RTX 3060 Laptop 6GB |
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| Loss | 5.27 to 1.55 |
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| 格式 | Merged bf16 safetensors + GGUF F16 |
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## 系列模型
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| 模型 | LoRA | 方法 | 版本 |
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|------|------|------|------|
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| **Qwen3-1.7B-Yukari-SFT** (本模型) | r=8, a=8 | SFT | v1 |
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| [Qwen3-1.7B-Yukari-SFT-v2](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-SFT-v2) | r=32, a=64 | SFT | v2 |
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| [Qwen3-1.7B-Yukari-DPO](https://hf.co/zzoceanpie/Qwen3-1.7B-Yukari-DPO) | r=32, a=64 | SFT+DPO | v2+DPO |
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## 用法
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模型输入格式为 `[情绪标签]\n用户输入`,标签控制八云紫的回复语气。8 维 Plutchik 情绪向量离散化:喜悦/愤怒/悲伤/恐惧/厌恶/惊讶/信任/期待,每维取「无」「极轻微」「轻微」「中轻度」「中度」「较强烈」「强烈」「极强烈」。
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"zzoceanpie/Qwen3-1.7B-Yukari-SFT",
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torch_dtype="auto", device_map="auto", trust_remote_code=True
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)
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tokenizer = AutoTokenizer.from_pretrained("zzoceanpie/Qwen3-1.7B-Yukari-SFT")
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# 组装情绪标签
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tags = "[<|中度喜悦|><|轻微愤怒|><|轻微悲伤|><|无恐惧|><|无厌恶|><|无惊讶|><|轻微信任|><|中度期待|>]"
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prompt = f"{tags}\n你觉得人类最有趣的地方是什么?"
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messages = [{"role": "user", "content": prompt}]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=128, temperature=0.8)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### GGUF
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```python
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from llama_cpp import Llama
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model = Llama(model_path="Qwen3-1.7B-Yukari-SFT-f16.gguf", n_ctx=2048, n_gpu_layers=-1)
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response = model.create_chat_completion(
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messages=[{"role": "user", "content": prompt}],
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max_tokens=200, temperature=0.8
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)
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print(response["choices"][0]["message"]["content"])
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```
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## 许可 / License
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- 模型权重: Apache 2.0
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- 角色「八云紫」版权: (C) 上海爱丽丝幻乐团 (Team Shanghai Alice) / ZUN
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- 本模型是东方Project的二次创作/粉丝作品。遵循 [东方Project二次创作指南](https://touhou-project.news/guidelines_en/)。
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- 训练数据: [yukari-synthetic](https://hf.co/datasets/zzoceanpie/yukari-synthetic) (Apache 2.0)
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- *This is a fan-made derivative work based on Touhou Project. Touhou Project is (C) Team Shanghai Alice / ZUN.*
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> This model is a fan-made derivative work based on Touhou Project.
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> Touhou Project is (C) Team Shanghai Alice / ZUN.
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> Please refer to the [official guidelines](https://touhou-project.news/guidelines_en/) for Touhou fan content.
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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63
config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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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": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.7.0",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.7.0"
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e8a52839bbdbcbb906f5e12d87d9ad9ff830a511fc2ca7c9bc02c1f5eaa4e188
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size 3441185608
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tokenizer.json
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3
tokenizer.json
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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tokenizer_config.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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