EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
This technical report introduces the EXAONE 3.5 instruction-tuned language
models, developed and released by LG AI Research. The EXAONE 3.5 language
models are offered in three configurations: 32B, 7.8B, and 2.4B. These models
feature several standout capabilities: 1) exceptional instruction following
capabilities in real-world scenarios, achieving the highest scores across seven
benchmarks, 2) outstanding long-context comprehension, attaining the top
performance in four benchmarks, and 3) competitive results compared to
state-of-the-art open models of similar sizes across nine general benchmarks.
The EXAONE 3.5 language models are open to anyone for research purposes and can
be downloaded from https://huggingface.co/LGAI-EXAONE. For commercial use,
please reach out to the official contact point of LG AI Research:
contact_us@lgresearch.ai.
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EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
This technical report introduces the EXAONE 3.5 instruction-tuned language
models, developed and released by LG AI Research. The EXAONE 3.5 language
models are offered in three configurations: 32B, 7.8B, and 2.4B. These models
feature several standout capabilities: 1) exceptional instruction following
capabilities in real-world scenarios, achieving the highest scores across seven
benchmarks, 2) outstanding long-context comprehension, attaining the top
performance in four benchmarks, and 3) competitive results compared to
state-of-the-art open models of similar sizes across nine general benchmarks.
The EXAONE 3.5 language models are open to anyone for research purposes and can
be downloaded from https://huggingface.co/LGAI-EXAONE. For commercial use,
please reach out to the official contact point of LG AI Research:
contact_us@lgresearch.ai.
EXAONE 3.5 language models, available in three configurations, demonstrate exceptional instruction following, long-context comprehension, and competitive performance across various benchmarks.
instruction-tuned language models long-context comprehension