Falcon 7B Quant by rejoicehub

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  4-bit   Autotrain compatible   Custom code   Endpoints compatible   Falcon   Pytorch   Region:us

Falcon 7B Quant 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 Quant (rejoicehub/falcon-7b-quant)

Falcon 7B Quant Parameters and Internals

LLM NameFalcon 7B Quant
Repository ๐Ÿค—https://huggingface.co/rejoicehub/falcon-7b-quant 
Model Size7b
Required VRAM4 GB
Updated2025-02-22
Maintainerrejoicehub
Model Typefalcon
Model Files  4.0 GB
Model ArchitectureFalconForCausalLM
Model Max Length2048
Transformers Version4.31.0
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 rejoicehub/falcon-7b-quant.

Rank the Falcon 7B Quant Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227