OLMo-2-1124-7B-DPO

An advanced text generation model supporting diverse task handling.

CommonProductProductivityText GenerationNatural Language Processing

OLMo-2-1124-7B-DPO is a large language model developed by the Allen Institute for Artificial Intelligence, which has been fine-tuned through supervised training on specific datasets, followed by DPO training. The model is designed to deliver high performance across a variety of tasks, including chat, solving mathematical problems, and text generation. It is built on the Transformers library, supports PyTorch, and is licensed under the Apache 2.0 license.

- Supports text generation: Capable of producing coherent and relevant text content.
- Diverse task handling: Beyond chat
it can also tackle mathematical problems
GSM8K
IFEval
and more.
- Fine-tuning capabilities: Enhanced performance on specific tasks through fine-tuning on particular datasets.
- PyTorch support: Facilitates integration with existing PyTorch projects.
- Adheres to Apache 2.0 license: Allows free use for research and educational purposes.
- Performance data: Provides detailed performance metrics to help users understand the model’s capabilities across various tasks.

\The target audience includes researchers
developers
and educators who require a high-performance model capable of handling complex language tasks. OLMo-2-1124-7B-DPO
with its robust text generation capabilities and multi-tasking abilities
is particularly suitable for users engaged in natural language processing and machine learning research.\

Example 1: Researchers use the OLMo-2-1124-7B-DPO model to develop a chatbot that delivers more natural and accurate conversations.
Example 2: Educational institutions leverage this model to generate teaching materials
such as math problems and solutions
to aid instruction.
Example 3: Developers integrate the model into their applications to provide automated content generation

1. Install the Transformers library: Use pip to install the latest version of the Transformers library.
2. Load the model: Load the OLMo-2-1124-7B-DPO model using the code snippet provided by Hugging Face.
3. Use the chat template: Enter user and assistant dialogue in the format outlined in the provided chat template.
4. Set system prompts: Configure system prompts as needed to guide the model's behavior.
5. Generate text: Take advantage of the model's text generation capabilities by inputting prompts to receive generated text.

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46.04%

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OLMo-2-1124-7B-DPO

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Llama-3.1-70B-Instruct-AWQ-INT4 — Text generation model with 70 billion parameters

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OLMo-2-1124-7B-RM — A large language model for text generation and classification.

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