初始化项目，由ModelHub XC社区提供模型
Model: NotoriousH2/A.X-4.0-Light-Sunbi-Merged Source: Original Platform
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README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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||||||
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||||||
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[More Information Needed]
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72
chat_template.jinja
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{%- if tools is iterable and tools | length > 0 %}
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{{- '<|im_start|><|system|>'}}
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{{- '당신은 도구 호출 기능을 갖춘 유용한 도우미입니다. 사용자의 요청을 처리하기 위해서 필요한 도구가 주어진 목록에 있는 경우 도구 호출로 응답하세요.
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필요한 도구가 목록에 없는 경우에는 도구 호출 없이 사용자가 요구한 정보를 제공하세요.
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필요한 도구가 목록에 있지만 해당 도구를 호출하는데 필요한 argument 정보가 부족한 경우 해당 정보를 사용자에게 요청하세요.
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사용자의 요청을 처리하기 위해 여러번 도구를 호출할 수 있어야 합니다.
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도구 호출 이후 도구 실행 결과를 입력으로 받으면 해당 결과를 활용하여 답변을 생성하세요.
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다음은 접근할 수 있는 도구들의 목록 입니다:
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<tools>
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'}}
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{%- for t in tools %}
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{{- t | tojson }}
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{{- '
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' }}
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{%- endfor %}
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{{- '</tools>' }}
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{{- '
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도구를 호출하려면 아래의 JSON으로 응답하세요.
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도구 호출 형식: <tool_call>{"name": 도구 이름, "arguments": dictionary 형태의 도구 인자값}</tool_call>' }}
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{{- '<|im_end|>' }}
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{%- endif %}
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{%- for message in messages %}
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{%- if message.role == 'system' %}
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{{- '<|im_start|><|system|>' + message.content + '<|im_end|>'}}
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{%- elif message.role == 'user' %}
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{{- '<|im_start|><|user|>' + message.content + '<|im_end|>'}}
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{%- elif message.role == 'assistant' %}
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{{- '<|im_start|><|assistant|>'}}
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{%- set content = '' %}
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{%- if message.content is defined %}
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{%- set content = message.content %}
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{%- endif %}
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{%- if add_generation_prompt and not (message.reasoning_content is defined and message.reasoning_content is not none) %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>'.strip())[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{{- content}}
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{%- if message.tool_calls is defined %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>' }}
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{{- '{' }}
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{{- '"name": "' }}
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{{- tool_call.name }}
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{{- '"' }}
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{%- if tool_call.arguments is defined %}
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{{- ', ' }}
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{{- '"arguments": ' }}
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{{- tool_call.arguments|tojson }}
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{%- endif %}
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{{- '}' }}
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{{- '</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>'}}
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{%- elif message.role == 'tool' %}
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{{- '<|im_start|><|extra_id_13|><tool_output>' + message.content + '</tool_output><|im_end|>'}}
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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|>' }}
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{%- endif %}
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61
config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dtype": "bfloat16",
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"eos_token_id": 0,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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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": 16384,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"pad_token_id": null,
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"rms_norm_eps": 1e-05,
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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": false,
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"transformers_version": "5.5.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 102400
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}
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7
generation_config.json
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generation_config.json
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{
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"bos_token_id": 0,
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"eos_token_id": 27,
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"max_new_tokens": 16384,
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"pad_token_id": 1,
|
||||||
|
"transformers_version": "5.5.0"
|
||||||
|
}
|
||||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:0bbeb37b7c243a7ef93d8d77ceaa22b8e2ce5ef9989ed5e3b5a7bf10f00f9d80
|
||||||
|
size 14519289000
|
||||||
511221
tokenizer.json
Normal file
511221
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
58
tokenizer_config.json
Normal file
58
tokenizer_config.json
Normal file
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"backend": "tokenizers",
|
||||||
|
"bos_token": "<|endoftext|>",
|
||||||
|
"clean_up_tokenization_spaces": true,
|
||||||
|
"cls_token": "<|cls|>",
|
||||||
|
"eod_token": "<|endoftext|>",
|
||||||
|
"eos_token": "<|im_end|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": [
|
||||||
|
"<|endoftext|>",
|
||||||
|
"<|pad|>",
|
||||||
|
"<|unk|>",
|
||||||
|
"<|sep|>",
|
||||||
|
"<|mask|>",
|
||||||
|
"<|cls|>",
|
||||||
|
"<|image|>",
|
||||||
|
"<|audio|>",
|
||||||
|
"<|user|>",
|
||||||
|
"<|system|>",
|
||||||
|
"<|assistant|>",
|
||||||
|
"<|extra_id_0|>",
|
||||||
|
"<|extra_id_1|>",
|
||||||
|
"<|extra_id_2|>",
|
||||||
|
"<|extra_id_3|>",
|
||||||
|
"<|extra_id_4|>",
|
||||||
|
"<|extra_id_5|>",
|
||||||
|
"<|extra_id_6|>",
|
||||||
|
"<|extra_id_7|>",
|
||||||
|
"<|extra_id_8|>",
|
||||||
|
"<|extra_id_9|>",
|
||||||
|
"<|extra_id_10|>",
|
||||||
|
"<|extra_id_13|>",
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_sep|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|resident_reg|>",
|
||||||
|
"<|foreigner_reg|>",
|
||||||
|
"<|business_reg|>",
|
||||||
|
"<|credit_card|>",
|
||||||
|
"<|passport|>",
|
||||||
|
"<|driver_license|>",
|
||||||
|
"<|telephone|>",
|
||||||
|
"<|health_insurance|>",
|
||||||
|
"<|bank_account|>"
|
||||||
|
],
|
||||||
|
"is_local": false,
|
||||||
|
"mask_token": "<|mask|>",
|
||||||
|
"model_max_length": 16384,
|
||||||
|
"model_specific_special_tokens": {
|
||||||
|
"eod_token": "<|endoftext|>"
|
||||||
|
},
|
||||||
|
"pad_token": "<|im_end|>",
|
||||||
|
"sep_token": "<|sep|>",
|
||||||
|
"tokenizer_class": "TokenizersBackend",
|
||||||
|
"unk_token": "<|unk|>",
|
||||||
|
"vocab_size": 102400
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user