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

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Dbrx Base Converted V2 4bit Gptq Marlin V2 is an open-source language model by LnL-AI. Features: LLM, License: other, Quantized, LLM Explorer Score: 0.13.

  Arxiv:2211.15841   Arxiv:2304.11277   4-bit   4bit   Autotrain compatible   Custom code   Dbrx   Endpoints compatible   Gptq   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin-v2 

Dbrx Base Converted V2 4bit Gptq Marlin V2 Benchmarks

LLME Score: 0.12781
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 Marlin V2 (LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin-v2)
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Dbrx Base Converted V2 4bit Gptq Marlin V2 Parameters and Internals

Model Type 
transformer-based, large language model, mixture-of-experts
Use Cases 
Areas:
commercial applications, research
Primary Use Cases:
text completion, coding tasks
Limitations:
Designed primarily for English, does not support non-English languages, Not for native code execution or function-calling
Considerations:
Use with caution for general English-language and coding tasks; additional testing recommended for safety
Additional Notes 
DBRX Base is a mixture-of-experts large language model with a fine-grained approach using 16 experts and RoPE. It is distributed under an open model license.
Supported Languages 
English (high proficiency)
Training Details 
Data Sources:
text, code
Data Volume:
12 trillion tokens
Methodology:
mixture-of-experts (MoE)
Context Length:
32768
Hardware Used:
1xA100 80G GPU
Model Architecture:
decoder-only with next-token prediction, rotary position encodings, gated linear units, grouped query attention
Input Output 
Input Format:
text-based inputs
Accepted Modalities:
text
Output Format:
text-based outputs
Performance Tips:
Use PR https://github.com/AutoGPTQ/AutoGPTQ/pull/625 and combine_tensors.sh script
LLM NameDbrx Base Converted V2 4bit Gptq Marlin V2
Repository 🤗https://huggingface.co/LnL-AI/dbrx-base-converted-v2-4bit-gptq-marlin-v2 
Updated2025-09-23
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-marlin-v2.

Rank the Dbrx Base Converted V2 4bit Gptq Marlin V2 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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