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DBRX-Instruct
Model parameter quantity
132B
Model parameter quantity
Affiliated organization
DataBricks
Affiliated organization
Open Source
License Type
Release time
March 26, 2024
Release time
Model Introduction
DBRX-Instruct is an MoE model trained from scratch by DataBricks, utilizing a selection scheme of 16 experts choosing 4, with an active parameter count of 36B. It's pretrained on 12T tokens, supporting a 32K context.
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Language comprehension ability Language comprehension ability
Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
3.8
Knowledge coverage scope Knowledge coverage scope
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
5.9
Reasoning ability Reasoning ability
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
2.6
Related model
DBRX-Instruct DBRX-Instruct is an MoE model trained from scratch by DataBricks, utilizing a selection scheme of 16 experts choosing 4, with an active parameter count of 36B. It's pretrained on 12T tokens, supporting a 32K context.
Qwen2.5-7B-Instruct Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Hunyuan-T1-20250822 The deep reasoning model independently developed by Tencent adopts the version number hunyuan-t1-20250822.
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