RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Defne-llama3.1-8B - GGUF
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- Model creator: https://huggingface.co/Eurdem/
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- Original model: https://huggingface.co/Eurdem/Defne-llama3.1-8B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Defne-llama3.1-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q2_K.gguf) | Q2_K | 2.96GB |
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| [Defne-llama3.1-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
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| [Defne-llama3.1-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.IQ3_S.gguf) | IQ3_S | 3.43GB |
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| [Defne-llama3.1-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
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| [Defne-llama3.1-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.IQ3_M.gguf) | IQ3_M | 3.52GB |
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| [Defne-llama3.1-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q3_K.gguf) | Q3_K | 3.74GB |
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| [Defne-llama3.1-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
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| [Defne-llama3.1-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
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| [Defne-llama3.1-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
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| [Defne-llama3.1-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q4_0.gguf) | Q4_0 | 4.34GB |
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| [Defne-llama3.1-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
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| [Defne-llama3.1-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
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| [Defne-llama3.1-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q4_K.gguf) | Q4_K | 4.58GB |
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| [Defne-llama3.1-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
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| [Defne-llama3.1-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q4_1.gguf) | Q4_1 | 4.78GB |
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| [Defne-llama3.1-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q5_0.gguf) | Q5_0 | 5.21GB |
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| [Defne-llama3.1-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
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| [Defne-llama3.1-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q5_K.gguf) | Q5_K | 5.34GB |
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| [Defne-llama3.1-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
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| [Defne-llama3.1-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q5_1.gguf) | Q5_1 | 5.65GB |
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| [Defne-llama3.1-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q6_K.gguf) | Q6_K | 6.14GB |
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| [Defne-llama3.1-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/Eurdem_-_Defne-llama3.1-8B-gguf/blob/main/Defne-llama3.1-8B.Q8_0.gguf) | Q8_0 | 7.95GB |
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Original model description:
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---
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license: llama3.1
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language:
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- en
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- tr
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- de
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- fr
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- it
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- es
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- llama-3
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- safetensors
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---
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Fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct, trained on Turkish dataset (~4 mio tokens).
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Then it is merged with VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct.
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## 💻 Kullanım/How to Use
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```python
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!pip install -qU transformers bitsandbytes accelerate
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import transformers
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import torch
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model_id = "Eurdem/Defne-llama3.1-8B"
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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, "load_in_8bit": True},
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device_map="auto",
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)
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## For English
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messages = [{"role": "system", "content": "You are a helpful chatbot, named Defne, who always responds friendly."},
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{"role": "user", "content": "Answer the questions: 1) Who are you? 2) f(x)=3x^2+4x+12 so what is f(3)?"},
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]
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## For Turkish
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messages = [{"role": "system", "content": "Sen, Defne isimli Türkçe konuşan bir chatbotsun."},
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{"role": "user", "content": "Soruları numaralandırarak cevapla. 1) Sen kimsin? 2) f(x)=3x^2+4x+12 ise f(3) kaçtır?"}
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]
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outputs = pipeline(
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messages,
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max_new_tokens=1024,
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do_sample=True,
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temperature=0.5,
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top_p=0.5,
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top_k=100,
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)
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print(outputs[0]["generated_text"][-1]["content"])
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```
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### English Output
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```
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Hello there! I'm Defne, a friendly chatbot here to help you with any questions or tasks you might have.
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Now, let's answer your questions:
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1. I am Defne, a helpful chatbot designed to provide friendly and informative responses to your queries. I'm always happy to assist you with anything you need help with!
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2. To find f(3) for the given function f(x) = 3x^2 + 4x + 12, we simply need to substitute x with 3 in the function.
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f(3) = 3(3)^2 + 4(3) + 12
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= 3(9) + 12 + 12
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= 27 + 12 + 12
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= 51
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So, f(3) equals 51.
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```
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### Türkçe Çıktı
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```
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1) Ben Defne, Türkçe konuşan bir chatbotum. İnsanlarla sohbet etmek ve onlara yardımcı olmak için tasarlanmış bir yapay zekâ uygulamasıyım.
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2) f(x) = 3x^2 + 4x + 12 formülüne x = 3 değerini koyarsak:
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f(3) = 3(3)^2 + 4(3) + 12
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f(3) = 3(9) + 12 + 12
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f(3) = 27 + 12 + 12
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f(3) = 51
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Sonuç olarak, f(3) = 51'dir.
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```
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