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Dbrx Instruct by alpindale

 »  All LLMs  »  alpindale  »  Dbrx Instruct   URL Share it on

  22   
  Arxiv:2211.15841   Arxiv:2304.11277   Autotrain compatible   Custom code   Dbrx   Instruct   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alpindale/dbrx-instruct 

Dbrx Instruct Benchmarks

LLME Score: 0.17721
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dbrx Instruct (alpindale/dbrx-instruct)

Dbrx Instruct Parameters and Internals

Model Type 
transformer-based, decoder-only, MoE (Mixture-of-Experts)
Use Cases 
Areas:
commercial, research
Applications:
general English-language and coding tasks
Primary Use Cases:
few-turn question answering
Limitations:
non-English proficiency, no multimodal capabilities
Considerations:
Use retrieval augmented generation (RAG) for accuracy.
Additional Notes 
Focus on providing accurate and appropriate responses for general text-based use.
Supported Languages 
English (generalist)
Training Details 
Data Sources:
text and code data
Data Volume:
12T tokens
Methodology:
next-token prediction, MoE with fine-grained architecture, curriculum learning
Context Length:
32768
Model Architecture:
transformer-based, decoder-only, fine-grained mixture-of-experts with 16 experts
Safety Evaluation 
Methodologies:
None specified
Risk Categories:
Inaccuracy, Bias, Offensiveness
Input Output 
Input Format:
text-based inputs with context up to 32768 tokens
Accepted Modalities:
text
Output Format:
text-based outputs
Performance Tips:
Use FlashAttention2 for faster inference.
Release Notes 
Version:
1.0
LLM NameDbrx Instruct
Repository 🤗https://huggingface.co/alpindale/dbrx-instruct 
Model Size131.6b
Required VRAM181.1 GB
Updated2025-02-22
Maintaineralpindale
Model Typedbrx
Instruction-BasedYes
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Model ArchitectureDbrxForCausalLM
Transformers Version4.38.2
Vocabulary Size100352
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than alpindale/dbrx-instruct.

Rank the Dbrx Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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