DeciLM-7B is an AI model published by Deci, released on 2023-12-12, for Foundation model, with 7.04B parameters, and 8K context length, requiring about 14.09 storage, with a 59.76 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
Benchmark Results
DeciLM-7B currently shows benchmark results led by GSM8K (47 / 70, score 47.38), MMLU (93 / 124, score 59.76). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
DeciLM-7B is an AI model published by Deci, released on 2023-12-12, for Foundation model, with 7.04B parameters, and 8K context length, requiring about 14.09 storage, with a 59.76 score on MMLU.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
