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Dbrx Base Quantization Fixed by SinclairSchneider

 »  All LLMs  »  SinclairSchneider  »  Dbrx Base Quantization Fixed   URL Share it on

  7   
  Arxiv:2211.15841   Arxiv:2304.11277   Autotrain compatible   Custom code   Dbrx   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/SinclairSchneider/dbrx-base-quantization-fixed 

Dbrx Base Quantization Fixed Benchmarks

LLME Score: 0.17475
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dbrx Base Quantization Fixed (SinclairSchneider/dbrx-base-quantization-fixed)

Dbrx Base Quantization Fixed Parameters and Internals

Model Type 
text generation, language model
Use Cases 
Areas:
general-purpose, commercial, research
Primary Use Cases:
text completion, English-language tasks, coding tasks
Limitations:
non-English languages, native code execution
Additional Notes 
The model can now be loaded in 4 or 8 bit modes.
Supported Languages 
English (Primary language supported)
Training Details 
Data Sources:
text, code
Data Volume:
12T tokens
Methodology:
Next-token prediction in a mixture-of-experts architecture
Context Length:
32768
Model Architecture:
transformer-based decoder-only model with a fine-grained mixture-of-experts architecture
Safety Evaluation 
Risk Categories:
misinformation, bias
Input Output 
Input Format:
Text-based inputs up to 32768 tokens
Accepted Modalities:
text
Output Format:
Text-based outputs
Release Notes 
Version:
1.0
Notes:
Initial release.
LLM NameDbrx Base Quantization Fixed
Repository 🤗https://huggingface.co/SinclairSchneider/dbrx-base-quantization-fixed 
Model Size131.6b
Required VRAM181.1 GB
Updated2025-02-22
MaintainerSinclairSchneider
Model Typedbrx
Model Files  3.5 GB: 1-of-61   4.4 GB: 2-of-61   4.2 GB: 3-of-61   4.4 GB: 4-of-61   4.4 GB: 5-of-61   4.2 GB: 6-of-61   4.4 GB: 7-of-61   4.4 GB: 8-of-61   4.2 GB: 9-of-61   4.4 GB: 10-of-61   4.4 GB: 11-of-61   4.2 GB: 12-of-61   4.4 GB: 13-of-61   4.4 GB: 14-of-61   4.2 GB: 15-of-61   4.4 GB: 16-of-61   4.4 GB: 17-of-61   4.2 GB: 18-of-61   4.4 GB: 19-of-61   4.4 GB: 20-of-61   4.2 GB: 21-of-61   4.4 GB: 22-of-61   4.4 GB: 23-of-61   4.2 GB: 24-of-61   4.4 GB: 25-of-61   4.4 GB: 26-of-61   4.2 GB: 27-of-61   4.4 GB: 28-of-61   4.4 GB: 29-of-61   4.2 GB: 30-of-61   4.4 GB: 31-of-61   4.4 GB: 32-of-61   4.2 GB: 33-of-61   4.4 GB: 34-of-61   4.4 GB: 35-of-61   4.2 GB: 36-of-61   4.4 GB: 37-of-61   4.4 GB: 38-of-61   4.2 GB: 39-of-61   4.4 GB: 40-of-61   4.4 GB: 41-of-61   4.2 GB: 42-of-61
Model ArchitectureDbrxForCausalLM
Licenseother
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 SinclairSchneider/dbrx-base-quantization-fixed.

Rank the Dbrx Base Quantization Fixed Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Text Generation  
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Release v20241227
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