HomeDBRX-Instruct
132B
Model parameter quantity
DataBricks
Affiliated organization
Open Source
License Type
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.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
3.8
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
5.9
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
2.6
Model comparison
DBRX-Instruct vs Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
DBRX-Instruct vs Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
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.
Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
ERNIE 5.0
Baidu’s newly released ERNIE large model, version 5.0.
Spark-X1
The inference model Spark X1 released by iFlytek, on the basis of leading domestic mathematical tasks, benchmarks the performance of general tasks such as inference, text generation, and language understanding against OpenAI o1 and DeepSeek R1.
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