Falcon 7B Instruct Quant by rejoicehub

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

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

Falcon 7B Instruct Quant Parameters and Internals

LLM NameFalcon 7B Instruct Quant
Repository ๐Ÿค—https://huggingface.co/rejoicehub/falcon-7b-instruct-quant 
Model Size7b
Required VRAM4 GB
Updated2025-02-05
Maintainerrejoicehub
Model Typefalcon
Instruction-BasedYes
Model Files  4.0 GB
Model ArchitectureFalconForCausalLM
Model Max Length2048
Transformers Version4.41.2
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-instruct-quant.

Rank the Falcon 7B Instruct Quant Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227