---
license: apache-2.0
base_model:
- meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: text-generation
tags:
- medical
- code
---
# Xea-Llama
---
## π Introduction
Xea-Llama is a next-generation AI model developed by **EnhanceAI**. It is designed for advanced reasoning, code generation, and problem-solving tasks. Built using reinforcement learning (RL) without supervised fine-tuning (SFT), Xea-Llama demonstrates powerful reasoning capabilities, self-verification, and structured chain-of-thought (CoT) processes.
Xea-Llama is **fully open-source** and optimized for superior performance, surpassing previous benchmarks in various AI domains.
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---
## π Model Summary
### **Post-Training: Large-Scale RL**
Xea-Llama follows a **pure RL** approach, which allows it to develop unique reasoning strategies **without requiring supervised fine-tuning** as a preliminary step. This approach results in **highly optimized performance** for complex reasoning tasks.
Our pipeline consists of:
- **Two RL stages** for reasoning enhancement and alignment with human preferences.
- **Two SFT stages** to develop base reasoning and general capabilities.
This pipeline ensures **state-of-the-art performance** across multiple domains, including **math, code, and logical problem-solving**.
---
## π Model Downloads
Xea-Llama is available for public access:
**Xea-Llama Models**
- **Base Model**: Pre-trained model optimized for RL-based reasoning.
- **Distilled Models**: Efficient, lightweight versions fine-tuned for deployment.
---
## π Evaluation Results
Xea-Llama has been extensively tested across multiple benchmarks, achieving superior performance compared to previous models. It supports a **maximum generation length of 32,768 tokens**, making it ideal for long-form reasoning and complex tasks.
For benchmarking:
- **Temperature: 0.5 - 0.7** (Recommended: **0.6**).
- **Avoid system prompts**βinstructions should be in the user prompt.
- **Mathematical reasoning** should be encouraged using: `"Please reason step by step and put your final answer within \boxed{}."`
- **Multiple test iterations** are recommended for accurate evaluations.
---
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---
## π Join the Community
π¬ **Discord**: [Join here](https://discord.gg/aNeU3tzw)
π’ **Telegram**: [Join Here](https://t.me/xeasupport)
π¨ **EnhanceAI.art**: [Discover AI Creativity](https://enhanceai.art)
For any issues, feel free to **open a GitHub issue** on our repository.
