Dbrx Instruct by databricks

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  Arxiv:2211.15841   Arxiv:2304.11277   Autotrain compatible   Conversational   Dbrx   Instruct   Region:us   Safetensors   Sharded   Tensorflow

Dbrx Instruct Benchmarks

Dbrx Instruct (databricks/dbrx-instruct)

Dbrx Instruct Parameters and Internals

Model Type 
Large Language Model, Text Generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
General English-language tasks, Coding tasks
Primary Use Cases:
Few-turn question answering
Limitations:
Not tested for non-English proficiency, No multimodal capabilities
Considerations:
Evaluation around safety for specific applications recommended
Supported Languages 
English (General Text Processing)
Training Details 
Data Sources:
12T tokens of text and code
Data Volume:
12T tokens
Methodology:
Curriculum learning, changed data mix during training
Context Length:
32768
Hardware Used:
Databricks infrastructure
Model Architecture:
Fine-grained MoE with 16 experts
Input Output 
Input Format:
Text-based, up to 32768 tokens
Accepted Modalities:
text
Output Format:
Text-based
Performance Tips:
Using FlashAttention2 is recommended for faster inference.
Release Notes 
Version:
1.0
Notes:
Instruction finetuned, Mixture-of-experts model
LLM NameDbrx Instruct
Repository ๐Ÿค—https://huggingface.co/databricks/dbrx-instruct 
Model Size131.6b
Required VRAM181.1 GB
Updated2025-02-22
Maintainerdatabricks
Model Typedbrx
Instruction-BasedYes
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Gated ModelYes
Model ArchitectureDbrxForCausalLM
Licenseproprietary
Transformers Version4.40.0
Vocabulary Size100352
Torch Data Typebfloat16

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Rank the Dbrx Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227