OLMoE-1B-7B-0924-Instruct
Maintainer: allenai
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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
OLMoE-1B-7B-0924-Instruct is a Mixture-of-Experts language model with 1 billion active and 7 billion total parameters, released in September 2024. It was adapted from the OLMoE-1B-7B model via supervised fine-tuning and direct preference optimization, yielding state-of-the-art performance among models with a similar cost. The model is 100% open-source and can compete with much larger language models like Llama2-13B-Chat.
Model inputs and outputs
The OLMoE-1B-7B-0924-Instruct model takes in text-based prompts and generates relevant responses. It supports a variety of input formats, including the chat template format used in the example code.
Inputs
- Text-based prompts, ideally structured in a conversational format
Outputs
- Generated text responses to the input prompts
Capabilities
The OLMoE-1B-7B-0924-Instruct model demonstrates strong performance on a range of benchmarks, including commonsense reasoning, open-ended question answering, and various other language understanding tasks. It is particularly adept at tasks requiring logical reasoning and inference.
What can I use it for?
The OLMoE-1B-7B-0924-Instruct model can be used for a variety of natural language processing applications, such as building conversational assistants, generating informative content, and aiding in research and development. Its strong performance and open-source availability make it an attractive option for both commercial and academic use cases.
Things to try
One interesting aspect of the OLMoE-1B-7B-0924-Instruct model is its ability to engage in multi-turn conversations, maintaining context and coherence over longer exchanges. Developers could experiment with using the model in interactive chatbot applications, observing how it responds to follow-up questions and requests for clarification or additional detail.
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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