Falcon 7B Instruct Autogptq by Yhyu13

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  4bit   Autotrain compatible   Custom code   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 Parameters and Internals

LLM NameFalcon 7B Instruct Autogptq
Repository ๐Ÿค—https://huggingface.co/Yhyu13/falcon-7b-instruct-autogptq 
Model Size7b
Required VRAM4.8 GB
Updated2024-10-18
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
Falcon 7B Instruct Autogptq (Yhyu13/falcon-7b-instruct-autogptq)

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803