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Model: fibonacciai/fibonacci-1-EN-8b-chat.P1_5 Source: Original Platform
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---
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widget:
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- text: Fibonacci Intelligence ✨
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parameters:
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negative_prompt: fibonacci ai
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output:
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url: images/IMG_20250104_152637_289-GBCTSioQi-transformed-transformed.png
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license: mit
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datasets:
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- fibonacciai/Persian-llm-fibonacci-1-pro
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language:
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- en
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- ar
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- fa
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base_model:
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- fibonacciai/Persian-llm-fibonacci-1-7b-chat.P1_0
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new_version: fibonacciai/fibonacci-1-EN-8b-chat.P1_5
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pipeline_tag: text-generation
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tags:
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- text-generation-inference
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- FIBONACCI
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---
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# Fibonacci-1-EN-8b-Chat.P1_5 Model
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## Introduction
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The **Fibonacci-1-EN-8b-Chat.P1_5** is a large language model (LLM) based on the LLaMA architecture, designed with 8.03 billion parameters. This model is optimized for natural language processing (NLP) tasks and textual conversations.
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## Features
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- **Architecture:** LLaMA
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- **Number of Parameters:** 8.03 billion
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- **Formats:** GGUF supporting 4-bit (Q4_K_M), 5-bit (Q5_K_M), 8-bit (Q8_0), and 16-bit (F16)
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- **License:** MIT
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## Applications
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- **Text Generation:** Creating creative and diverse texts
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- **Question Answering:** Providing accurate responses to user inquiries
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- **Machine Translation:** Translating texts between different languages
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- **Sentiment Analysis:** Identifying sentiments present in texts
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## Usage
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To use this model, you can utilize various libraries such as Hugging Face's `transformers`. Below is a sample code to load and use the model:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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model = AutoModelForCausalLM.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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input_text = "Hello! How can I assist you today?"
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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**عربی:**
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```markdown
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# نموذج Fibonacci-1-EN-8b-Chat.P1_5
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## المقدمة
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نموذج **Fibonacci-1-EN-8b-Chat.P1_5** هو نموذج لغة كبير (LLM) يعتمد على بنية LLaMA، تم تصميمه بـ 8.03 مليار معلمة. هذا النموذج مُحسّن لمهام معالجة اللغة الطبيعية (NLP) والمحادثات النصية.
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## الميزات
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- **البنية:** LLaMA
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- **عدد المعلمات:** 8.03 مليار
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- **التنسيقات:** GGUF تدعم 4-بت (Q4_K_M)، 5-بت (Q5_K_M)، 8-بت (Q8_0)، و16-بت (F16)
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- **الترخيص:** MIT
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## التطبيقات
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- **توليد النصوص:** إنشاء نصوص إبداعية ومتنوعة
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- **الإجابة على الأسئلة:** تقديم إجابات دقيقة لاستفسارات المستخدمين
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- **الترجمة الآلية:** ترجمة النصوص بين لغات مختلفة
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- **تحليل المشاعر:** تحديد المشاعر الموجودة في النصوص
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## كيفية الاستخدام
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لاستخدام هذا النموذج، يمكنك الاستفادة من مكتبات مختلفة مثل `transformers` من Hugging Face. فيما يلي مثال لتحميل واستخدام النموذج:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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model = AutoModelForCausalLM.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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input_text = "مرحبًا! كيف يمكنني مساعدتك اليوم؟"
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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# مدل Fibonacci-1-EN-8b-Chat.P1_5
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## معرفی
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مدل **Fibonacci-1-EN-8b-Chat.P1_5** یک مدل زبانی بزرگ (LLM) مبتنی بر معماری LLaMA است که با ۸٫۰۳ میلیارد پارامتر طراحی شده است. این مدل برای انجام وظایف مرتبط با پردازش زبان طبیعی (NLP) و مکالمات متنی بهینهسازی شده است.
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## ویژگیها
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- **معماری:** LLaMA
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- **تعداد پارامترها:** ۸٫۰۳ میلیارد
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- **فرمتها:** GGUF با پشتیبانی از 4-bit (Q4_K_M)، 5-bit (Q5_K_M)، 8-bit (Q8_0)، و 16-bit (F16)
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- **مجوز استفاده:** MIT
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## کاربردها
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- **تولید متن:** ایجاد متون خلاقانه و متنوع
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- **پاسخ به سؤالات:** ارائه پاسخهای دقیق به پرسشهای کاربران
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- **ترجمه ماشینی:** ترجمه متون بین زبانهای مختلف
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- **تحلیل احساسات:** شناسایی احساسات موجود در متون
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## نحوه استفاده
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برای استفاده از این مدل، میتوانید از کتابخانههای مختلفی مانند `transformers` هاگینگ فیس استفاده کنید. در زیر یک نمونه کد برای بارگذاری و استفاده از مدل آورده شده است:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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model = AutoModelForCausalLM.from_pretrained("fibonacciai/fibonacci-1-EN-8b-chat.P1_5")
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input_text = "سلام! چطور میتوانم به شما کمک کنم؟"
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inputs = tokenizer(input_text, return_tensors="pt")
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outputs = model.generate(**inputs)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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config.json
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{
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"model_type": "llama"
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}
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fibonacci-1-EN-8b-chat.P1_5 .Q8_0.gguf
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fibonacci-1-EN-8b-chat.P1_5 .Q8_0.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:12dbbff3a418e013f8ebd9bbe1c47073a771b5f82cc60de729cb72d37b126a16
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size 8540770816
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