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--- |
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license: mit |
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datasets: |
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- Meforgers/Aixr-Thinkable-V1 |
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language: |
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- tr |
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- en |
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base_model: |
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- meta-llama/Llama-3.1-8B |
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tags: |
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- code |
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- medical |
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- math |
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- turkish |
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- türkçe |
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- coding |
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- yazılım |
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- programlama |
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- thinkable |
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- düşünebilen |
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- düşünen |
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new_version: Aixr/Aixr |
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--- |
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# LLama-3.1-Thinkable: Bilingual AI Expert in Mathematics and Programming |
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LLama-3.1-Thinkable is a fine-tuned version of LLama 3.1, specifically designed to excel in **bilingual (Turkish and English)** communication, advanced **mathematics**, and **programming** tasks. This model combines enhanced reasoning capabilities with strong multilingual proficiency, offering a cutting-edge solution for users in diverse fields. |
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--- |
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## 🚀 Features |
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1. **Bilingual Expertise** |
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- Fluent in both **Turkish** and **English**. |
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- Designed to seamlessly understand and respond in either language. |
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- Ideal for users who switch between these languages or require multilingual solutions. |
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2. **Mathematics Mastery** |
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- Excels in solving advanced mathematical problems, including algebra, calculus, and statistics. |
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- Provides step-by-step explanations for better understanding. |
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3. **Programming Proficiency** |
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- Supports a wide range of programming languages, including **Python**, **JavaScript**, **C++**, and more. |
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- Assists with debugging, algorithm design, and code optimization. |
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- Generates clear and efficient code snippets for complex tasks. |
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4. **Thinkable AI: Enhanced Reasoning** |
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- Fine-tuned for improved logical and critical thinking. |
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- Capable of breaking down complex concepts into understandable insights. |
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--- |
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## 🔧 Technical Details |
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- **Base Model:** LLama 3.1 |
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- **Fine-tuning Dataset:** |
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- High-quality bilingual datasets (Turkish-English). |
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- Specialized datasets for mathematics and programming tasks. |
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- **Parameter Count:** 5.25B & 8B |
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--- |
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## 📚 Use Cases |
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- **Education:** |
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- Learn programming and advanced mathematics with detailed explanations. |
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- Solve bilingual academic tasks in Turkish and English. |
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- **Development:** |
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- Generate production-ready code. |
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- Debug complex applications and find optimized solutions. |
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- **AI Research:** |
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- Experiment with a high-performance bilingual model in NLP tasks. |
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--- |
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## 🛠️ How to Use |
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Here’s how you can get started with LLama-3.1-Thinkable: |
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### Installation |
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```bash |
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pip install transformers |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "aixr/llama-3.1-thinkable" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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# Generate a response |
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inputs = tokenizer("Explain recursion in programming:", return_tensors="pt") |
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outputs = model.generate(inputs["input_ids"], max_length=200) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
