Falcon 7B Instruct Autogptq by Yhyu13

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  4bit   Autotrain compatible   Custom code   Endpoints compatible   Gptq   Instruct   Pytorch   Quantized   Refinedwebmodel   Region:us

Falcon 7B Instruct Autogptq Benchmarks

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

Additional Notes 
The group size is 64 because autogptq does not generate 128 group size successfully when evaluating, at this moment.
LLM NameFalcon 7B Instruct Autogptq
Repository ๐Ÿค—https://huggingface.co/Yhyu13/falcon-7b-instruct-autogptq 
Model Size7b
Required VRAM4.8 GB
Updated2025-09-23
MaintainerYhyu13
Model TypeRefinedWebModel
Instruction-BasedYes
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-instruct-autogptq.

Rank the Falcon 7B Instruct 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  
Code Generation  
Multi-Language Support and Translation  

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