初始化项目，由ModelHub XC社区提供模型

Model: seihyun87/broken-model
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model:
+- Qwen/Qwen3-8B
+---
+
+# broken-model: 수정 사항 문서
+
+원본 모델: [yunmorning/broken-model](https://huggingface.co/yunmorning/broken-model)
+
+## 문제
+
+이 모델로 `/chat/completions` API 서버를 실행할 수 없었다. 요청 시 다음 에러 반환:
+
+```json
+{"message": "no configured chat prompt template; use non-chat endpoint instead"}
+```
+
+참고: `/v1/completions` (text completion)은 raw text prompt를 직접 사용하므로 chat template 없이도 정상 작동했다.
+
+## 원인
+
+`tokenizer_config.json`에 `chat_template` 필드가 누락되어 있었다.
+
+`/chat/completions` 엔드포인트는 messages 배열 (예: `[{"role": "user", "content": "hello"}]`)을 모델이 이해하는 텍스트 형식으로 변환해야 한다. 이 변환 규칙이 `chat_template`에 정의되어 있으며, 이 필드가 없으면 서버가 messages를 모델 입력으로 변환할 수 없어 에러가 발생한다.
+
+## 설정 파일 분석
+
+| 파일 | 필드 | 값 | 판단 |
+|------|------|-----|------|
+| `config.json` | `architectures` | `["Qwen3ForCausalLM"]` | 정상 |
+| `config.json` | `model_type` | `"qwen3"` | 정상 |
+| `config.json` | `vocab_size` | `151936` | 정상 (Qwen3) |
+| `config.json` | `num_hidden_layers` | `36` | 정상 (Qwen3-8B) |
+| `tokenizer_config.json` | `tokenizer_class` | `"Qwen2Tokenizer"` | 허용 (Qwen3는 Qwen2Tokenizer 사용) |
+| `tokenizer_config.json` | `chat_template` | **누락** | **근본 원인** |
+| `README.md` | `base_model` | `meta-llama/Meta-Llama-3.1-8B` → `Qwen/Qwen3-8B` | 수정 (Optional — 추론에 영향 없지만 정확한 출처 기록) |
+
+## 수정 내용
+
+**변경 파일**: `tokenizer_config.json`
+
+**변경 사항**: 공식 [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)의 `chat_template` 필드를 추가했다.
+
+이 템플릿은 ChatML 형식(`<|im_start|>` / `<|im_end|>`)을 사용하며 다음을 지원한다:
+- System / user / assistant 메시지 포맷팅
+- Tool call 포맷팅 (`<tool_call>` / `</tool_call>`)
+- Reasoning/thinking 블록 (`<think>` / `</think>`)
+
+추가로 `README.md`의 YAML frontmatter에서 `base_model`을 `meta-llama/Meta-Llama-3.1-8B` → `Qwen/Qwen3-8B`로 수정했다. 이 필드는 HuggingFace Hub UI에 표시되는 metadata이며 추론 동작에는 영향을 주지 않지만, 모델 출처를 정확히 기록하여 사용자 혼란을 방지한다.
+
+## 검증
+
+**수정 전** (`/v1/chat/completions`):
+```json
+{"message": "no configured chat prompt template; use non-chat endpoint instead"}
+```
+
+**수정 후** (`/v1/chat/completions`):
+```json
+{
+  "choices": [{
+    "finish_reason": "stop",
+    "message": {
+      "content": "Hello! How can I assist you today?",
+      "reasoning_content": "Okay, the user just said \"hello\"...",
+      "role": "assistant"
+    }
+  }]
+}
+```

config.json

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+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
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+    "do_sample": true,
+    "eos_token_id": [
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+        151643
+    ],
+    "pad_token_id": 151643,
+    "temperature": 0.6,
+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "4.51.0"
+}

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tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "<|im_start|>",
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+      "special": true
+    },
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+      "content": "<|im_end|>",
+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "special": true
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+      "lstrip": false,
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+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
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+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "errors": "replace",
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+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# 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>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\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\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- 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>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
+}