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Falcon 7B Autogptq by Yhyu13

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  4bit   Autotrain compatible   Custom code   Endpoints compatible   Gptq   Pytorch   Quantized   Refinedwebmodel   Region:us
Model Card on HF 🤗: https://huggingface.co/Yhyu13/falcon-7b-autogptq 

Falcon 7B Autogptq Benchmarks

LLME Score: 0.08648
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B Autogptq (Yhyu13/falcon-7b-autogptq)
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Falcon 7B Autogptq Parameters and Internals

Additional Notes 
This is the quantization of the base model, which has not been fine-tuned with chat instructions yet.
LLM NameFalcon 7B Autogptq
Repository 🤗https://huggingface.co/Yhyu13/falcon-7b-autogptq 
Model Size7b
Required VRAM4.8 GB
Updated2025-09-29
MaintainerYhyu13
Model TypeRefinedWebModel
Model Files  4.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.1
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Yhyu13/falcon-7b-autogptq.

Rank the Falcon 7B Autogptq 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  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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