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Falcon 180B Omniquant W3a16g512 by ChenMnZ

 »  All LLMs  »  ChenMnZ  »  Falcon 180B Omniquant W3a16g512   URL Share it on

  5   
  Arxiv:2308.13137   Autotrain compatible   Endpoints compatible   Falcon   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/ChenMnZ/falcon-180b-omniquant-w3a16g512 

Falcon 180B Omniquant W3a16g512 Benchmarks

LLME Score: 0.10687
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 180B Omniquant W3a16g512 (ChenMnZ/falcon-180b-omniquant-w3a16g512)
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Falcon 180B Omniquant W3a16g512 Parameters and Internals

Additional Notes 
Please refer to the provided Jupyter notebook for running instructions.
LLM NameFalcon 180B Omniquant W3a16g512
Repository 🤗https://huggingface.co/ChenMnZ/falcon-180b-omniquant-w3a16g512 
Model Size180b
Required VRAM69.4 GB
Updated2025-09-23
MaintainerChenMnZ
Model Typefalcon
Model Files  9.7 GB: 1-of-8   9.9 GB: 2-of-8   9.8 GB: 3-of-8   9.8 GB: 4-of-8   9.9 GB: 5-of-8   9.8 GB: 6-of-8   9.8 GB: 7-of-8   0.7 GB: 8-of-8
Model ArchitectureFalconForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.33.0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChenMnZ/falcon-180b-omniquant-w3a16g512.

Rank the Falcon 180B Omniquant W3a16g512 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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