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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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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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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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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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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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- ## 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 [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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  ---
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+ license: apache-2.0
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  library_name: transformers
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+ pipeline_tag: text-generation
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+ datasets:
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+ - Josephgflowers/Finance-Instruct-500k
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+ base_model:
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+ - deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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+ - Qwen/Qwen2.5-Math-1.5B
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  ---
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+ # WiroAI-Finance-Qwen-1.5B
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+ <!-- markdownlint-disable first-line-h1 -->
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+ <!-- markdownlint-disable html -->
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+ <!-- markdownlint-disable no-duplicate-header -->
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+
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+ <div align="center">
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+ <img src="https://huggingface.co/WiroAI/wiroai-turkish-llm-9b/resolve/main/wiro_logo.png" width="15%" alt="Wiro AI" />
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+ </div>
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+ <hr>
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+ <div align="center" style="line-height: 1;">
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+ <a href="https://www.wiro.ai/" target="_blank" style="margin: 2px;">
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+ <img alt="Homepage" src="https://huggingface.co/WiroAI/wiroai-turkish-llm-9b/resolve/main/homepage.svg" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ <a href="https://wiro.ai/tools?search=&categories=chat&tags=&page=0" target="_blank" style="margin: 2px;">
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+ <img alt="Chat" src="https://huggingface.co/WiroAI/wiroai-turkish-llm-9b/resolve/main/chat.svg" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ <a href="https://huggingface.co/WiroAI" target="_blank" style="margin: 2px;">
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+ <img alt="Hugging Face" src="https://huggingface.co/WiroAI/wiroai-turkish-llm-9b/resolve/main/huggingface.svg" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ </div>
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+ <div align="center" style="line-height: 1;">
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+ <a href="https://instagram.com/wiroai" target="_blank" style="margin: 2px;">
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+ <img alt="Instagram Follow" src="https://img.shields.io/badge/Instagram-wiroai-555555?logo=instagram&logoColor=white&labelColor=E4405F" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ <a href="https://x.com/wiroai" target="_blank" style="margin: 2px;">
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+ <img alt="X Follow" src="https://img.shields.io/badge/X-wiroai-555555?logo=x&logoColor=white&labelColor=000000" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ </div>
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+ <div align="center" style="line-height: 1;">
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+ <a href="https://wiro.ai/agreement/terms-of-service" style="margin: 2px;">
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+ <img alt="License" src="https://img.shields.io/badge/License-apache 2.0-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
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+ </a>
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+ </div>
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+
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+ # 🚀 Meet with WiroAI/WiroAI-Finance-Qwen-1.5B! A robust language model with more finance knowledge support! 🚀
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+
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+ ## 🌟 Key Features
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+
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+ - Fine-tuned with 500,000+ high-quality finance instructions. ([Josephgflowers/Finance-Instruct-500k](https://huggingface.co/datasets/Josephgflowers/Finance-Instruct-500k))
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+ - LoRA method was used for fine-tuning without quantization.
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+ - Adapted to finance expertise.
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+ - Built on Qwen's architecture
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+
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+ 📝 Model Details
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+ The model is the finance data fine-tuned version of Qwen model family. This model has been trained using Supervised Fine-Tuning (SFT) on carefully curated high-quality finance instructions.
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+
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+ ## Usage
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+
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+ ### Transformers Pipeline
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+ ```python
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+ import transformers
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+ import torch
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+
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+
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+ model_id = "WiroAI/WiroAI-Finance-Qwen-1.5B"
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+
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model_id,
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+ model_kwargs={"torch_dtype": torch.bfloat16},
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+ device_map="auto",
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+ )
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+
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+ pipeline.model.eval()
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+
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+ messages = [
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+ {"role": "system", "content": "You are a finance chatbot developed by Wiro AI"},
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+ {"role": "user", "content": "How can central banks balance the trade-off between controlling inflation and maintaining economic growth, especially in an environment of high public debt and geopolitical uncertainty?"
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+ },
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+ ]
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+
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+ terminators = [
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+ pipeline.tokenizer.eos_token_id,
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+ pipeline.tokenizer.convert_tokens_to_ids("<|end▁of▁sentence|>")
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+ ]
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+
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+ outputs = pipeline(
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+ messages,
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+ max_new_tokens=512,
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+ eos_token_id=terminators,
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+ do_sample=True,
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+ temperature=0.9,
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+ )
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+
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+ print(outputs[0]["generated_text"][-1]['content'])
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+ ```
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+ ```markdown
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+ Central banks face a challenging task in balancing the trade-off between controlling inflation and maintaining economic growth, especially in an environment of high public debt and geopolitical uncertainty. To address this, central banks can implement several strategies:
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+ 1. Implementing monetary policy tools: Central banks can use interest rate adjustments, open market operations, and liquidity management to control inflation and manage the economy's growth. For instance, by raising interest rates, they can slow down economic activity and reduce inflationary pressures.
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+ 2. Encouraging fiscal prudence: Central banks should collaborate with governments to ensure fiscal sustainability. This involves encouraging fiscal reforms, reducing excessive public debt, and preventing excessive government spending.
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+ 3. Promoting financial inclusion: By addressing issues of financial exclusion and enhancing access to financial services, central banks can help reduce poverty and stimulate economic growth.
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+ 4. Building resilient financial systems: Central banks should strengthen the stability of financial markets by regulating financial institutions, ensuring the availability and liquidity of credit, and preventing financial crises.
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+ 5. Engaging in international cooperation: Central banks should work closely with other countries to address global economic challenges, such as geopolitical tensions and trade disputes, and support international agreements that promote economic stability.
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+ 6. Communicating effectively: Central banks should maintain open and transparent communication with the public, providing regular updates on monetary policy decisions and their implications for inflation and economic growth.
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+ By implementing these strategies, central banks can strive to balance the trade-off between controlling inflation and promoting economic growth, even in the face of high public debt and geopolitical uncertainty.
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+ ```
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+
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+ ## 🤝 License and Usage
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+ This model is provided under mit license. Please review the license terms before use.
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+
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+ ## 📫 Contact and Support
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+ For questions, suggestions, and feedback, please open an issue on HuggingFace or contact us directly from our website.
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+
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+ ## Citation
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+
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+ ```none
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+ @article{WiroAI,
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+ title={WiroAI/WiroAI-Finance-Qwen-1.5B},
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+ author={Abdullah Bezir, Furkan Burhan Türkay, Cengiz Asmazoğlu},
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+ year={2025},
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+ url={https://huggingface.co/WiroAI/WiroAI-Finance-Qwen-1.5B}
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+ }
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+ ```