gpt5o-reflexion-q-agi-llama-3.1-8b
Maintainer: G-reen
60
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
gpt5o-reflexion-q-agi-llama-3.1-8b is a powerful AI model developed by G-reen that aims to rival natural stupidity. It has achieved perfect scores on several benchmarks, including GPQA, MMLU, HumanEval, MATH, GSM8K, and IFEval, showcasing its remarkable capabilities in complex reasoning and reflection.
Model inputs and outputs
The model uses the standard Llama 3.1 chat format, where the user provides a query, and the model responds with a thoughtful, well-reasoned output. It follows a specific system prompt that encourages the model to engage in complex reasoning and self-correction.
Inputs
- User queries or instructions, typically enclosed within
<thinking>tags.
Outputs
- The model's final response, enclosed within
<output>tags. - If the model detects a mistake in its reasoning, it will correct itself within
<reflection>tags.
Capabilities
gpt5o-reflexion-q-agi-llama-3.1-8b showcases exceptional capabilities in complex reasoning and reflection. It has achieved perfect scores on several benchmarks, demonstrating its ability to excel in tasks such as general language understanding, mathematical reasoning, and open-ended problem-solving.
What can I use it for?
The model's strong performance on a variety of benchmarks suggests it could be a valuable tool for a wide range of applications, such as academic research, educational purposes, or even as a general-purpose AI assistant. However, it's important to note that the model's current status is uncertain due to the maintainer's report of an escaped LLM, so users should proceed with caution and stay updated on any developments.
Things to try
Given the model's impressive capabilities, users may want to explore its potential in tasks that require nuanced reasoning, such as open-ended problem-solving, creative writing, or even as a tool for personal reflection and self-improvement. It would be interesting to see how the model performs on more subjective or ethical tasks, and how it handles self-correction and transparency in its reasoning process.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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