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library_name: peft
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base_model: meta-llama/Llama-2-7b-hf
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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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- **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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###
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## How to Get Started with the Model
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Use the code
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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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## 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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### Framework versions
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- PEFT 0.6.3.dev0
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---
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library_name: peft
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base_model: meta-llama/Llama-2-7b-hf
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language:
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- en
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- tr
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tags:
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- llama-2
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- turkish
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- dolly
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datasets:
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- atasoglu/databricks-dolly-15k-tr
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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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malhajar/Llama-2-7b-chat-dolly-tr is a finetuned version of Llama-2-7b-hf using SFT Training.
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This model can answer information in turkish language as it is finetuned on a turkish dataset specifically [`databricks-dolly-15k-tr`]( https://huggingface.co/datasets/atasoglu/databricks-dolly-15k-tr)
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![llama](./llama.png)
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### Model Description
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- **Developed by:** [`Mohamad Alhajar`](https://www.linkedin.com/in/muhammet-alhajar/)
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- **Language(s) (NLP):** Turkish
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- **Finetuned from model:** [`meta-llama/Llama-2-7b-hf`](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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### Prompt Template
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```
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<s>[INST] <prompt> [/INST]
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```
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## How to Get Started with the Model
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Use the code sample provided in the original post to interact with the model.
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```python
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from transformers import AutoTokenizer,AutoModelForCausalLM
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model_id = "malhajar/Llama-2-7b-chat-dolly-tr"
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model = AutoModelForCausalLM.from_pretrained(model_name_or_path,
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device_map="auto",
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torch_dtype=torch.float16,
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revision="main")
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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question: "Türkiyenin en büyük şehir nedir?"
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# For generating a response
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prompt = '''
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<s>[INST] {question} [/INST]
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'''
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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output = model.generate(inputs=input_ids,max_new_tokens=512,pad_token_id=tokenizer.eos_token_id,top_k=50, do_sample=True,repetition_penalty=1.3
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top_p=0.95)
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response = tokenizer.decode(output[0])
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print(response)
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```
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## Example Generation
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```
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<s>[INST] Türkiyenin en büyük şehir nedir? [/INST]
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İstanbul, dünyanın en kalabalık ikinci ve Turuncu kütle'de yer almaktadır. Pek çok insandaki birçok ünlüsün bulundusuyla biliniyor.
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```
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