SynthIA-70B-v1.5
Maintainer: migtissera
42
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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
The SynthIA-70B-v1.5 model is a large language model developed by the AI researcher migtissera. It is built upon the Mistral-7B-v0.1 base model and has been fine-tuned for instruction following and long-form conversations. The model is part of the SynthIA series, which includes other models like the SynthIA-7B-v1.3. These models are uncensored and intended to be used with caution.
Model inputs and outputs
The SynthIA-70B-v1.5 model is designed to accept natural language instructions and engage in open-ended conversations. It utilizes a specialized prompt format to evoke "Tree of Thought" and "Chain of Thought" reasoning, which encourages the model to explore multiple lines of reasoning and backtrack when necessary to construct a clear, cohesive response.
Inputs
- Instruction prompts: Natural language instructions or questions that the model should respond to, often following a specific format such as:
SYSTEM: Elaborate on the topic using a Tree of Thoughts and backtrack when necessary to construct a clear, cohesive Chain of Thought reasoning. Always answer without hesitation.
USER: How is a rocket launched from the surface of the earth to Low Earth Orbit?
ASSISTANT:
Outputs
- Detailed, multi-paragraph responses: The model generates a coherent, well-reasoned response that addresses the input prompt, often incorporating relevant concepts, examples, and step-by-step explanations.
Capabilities
The SynthIA-70B-v1.5 model demonstrates strong capabilities in areas such as:
- Instruction following and task completion
- Open-ended conversation and dialogue
- Analytical and problem-solving abilities
- Knowledge synthesis and storytelling
For example, the model can provide detailed explanations for complex scientific or technical topics, generate creative narratives, and engage in thoughtful discussions on a wide range of subjects.
What can I use it for?
The SynthIA-70B-v1.5 model could be useful for a variety of applications, such as:
- Educational and informational content generation
- Interactive virtual assistants and chatbots
- Creative writing and worldbuilding
- Specialized domain-specific applications (e.g., technical support, research assistance)
However, it's important to note that the model is uncensored, so users should exercise caution and carefully consider the potential impacts of the model's outputs.
Things to try
One interesting aspect of the SynthIA-70B-v1.5 model is its ability to engage in multi-step reasoning and backtracking. You could try providing the model with complex, open-ended prompts that require it to explore multiple lines of thought and adjust its responses based on the provided context and feedback. This could lead to more insightful and nuanced outputs that showcase the model's analytical capabilities.
Another area to explore is the model's handling of mathematical and scientific concepts. The provided examples demonstrate the model's ability to generate MathJSON solutions, which could be a useful feature for educational or research-oriented applications.
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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