Overview
OLMo-2 is a series of Open Language Models designed to enable the science of language models. These models are trained on the Dolma dataset, with all code, checkpoints, logs (coming soon), and associated training details made openly available.
The OLMo-2 13B Instruct November 2024 is a post-trained variant of the OLMo-2 13B model, which has undergone supervised fine-tuning on an OLMo-specific variant of the Tülu 3 dataset. Additional training techniques include Direct Preference Optimization (DPO) and Reinforcement Learning from Virtual Rewards (RLVR), optimizing it for state-of-the-art performance across various tasks, including chat, MATH, GSM8K, and IFEval.
Variants
| No | Variant | Cortex CLI command |
|---|---|---|
| 1 | Olmo-2-7b | cortex run olmo-2:7b |
| 2 | Olmo-2-13b | cortex run olmo-2:13b |
| 3 | Olmo-2-32b | cortex run olmo-2:32b |
Use it with Jan (UI)
- Install Jan using Quickstart
- Use in Jan model Hub:
cortexhub/olmo-2
Use it with Cortex (CLI)
- Install Cortex using Quickstart
- Run the model with command:
cortex run olmo-2
Credits
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