Dbrx Base Converted V2 4bit Gptq Gptq by LnL-AI

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  Arxiv:2211.15841   Arxiv:2304.11277   4-bit   4bit   Autotrain compatible   Custom code   Dbrx   Endpoints compatible   Gptq   Quantized   Region:us

Dbrx Base Converted V2 4bit Gptq Gptq Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dbrx Base Converted V2 4bit Gptq Gptq (LnL-AI/dbrx-base-converted-v2-4bit-gptq-gptq)
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Dbrx Base Converted V2 4bit Gptq Gptq Parameters and Internals

Model Type 
text completion, MoE (Mixture-of-Experts)
Use Cases 
Areas:
Research, Commercial applications
Applications:
Natural language processing, Coding tasks
Primary Use Cases:
Text completion, Language understanding
Limitations:
Not suitable for non-English languages, Cannot execute code
Considerations:
Ensure safety and appropriateness according to use case.
Additional Notes 
DBRX models are highly modular and can be adapted through fine-tuning.
Supported Languages 
english (high)
Training Details 
Data Sources:
Expert-curated text and code datasets
Data Volume:
12 trillion tokens
Methodology:
Transformer-based with mixture-of-experts architecture
Context Length:
32768
Hardware Used:
Databricks infrastructure
Model Architecture:
Decoder-only with 16 experts
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use hf_transfer for faster downloads; consider FlashAttention2 for GPUs.
Release Notes 
Version:
1.0
Notes:
Initial release; requires PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625 for running GPTQ versions.
LLM NameDbrx Base Converted V2 4bit Gptq Gptq
Repository ๐Ÿค—https://huggingface.co/LnL-AI/dbrx-base-converted-v2-4bit-gptq-gptq 
Updated2025-08-18
MaintainerLnL-AI
Model Typedbrx
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureDbrxForCausalLM
Licenseother
Transformers Version4.38.2
Tokenizer ClassTiktokenTokenizerWrapper
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than LnL-AI/dbrx-base-converted-v2-4bit-gptq-gptq.

Rank the Dbrx Base Converted V2 4bit Gptq Gptq 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 v20241124