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Tiiuae Falcon 40B Instruct W4 G128 AWQ by abhinavkulkarni

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  Autotrain compatible   Awq   Custom code   Instruct   Pytorch   Quantized   Refinedweb   Region:us   Sharded

Tiiuae Falcon 40B Instruct W4 G128 AWQ Benchmarks

LLME Score: 0.13429
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tiiuae Falcon 40B Instruct W4 G128 AWQ Parameters and Internals

LLM NameTiiuae Falcon 40B Instruct W4 G128 AWQ
Repository 🤗https://huggingface.co/abhinavkulkarni/tiiuae-falcon-40b-instruct-w4-g128-awq 
Model Size40b
Required VRAM22.3 GB
Updated2024-09-19
Maintainerabhinavkulkarni
Model TypeRefinedWeb
Instruction-BasedYes
Model Files  3.2 GB: 1-of-7   3.2 GB: 2-of-7   3.2 GB: 3-of-7   3.2 GB: 4-of-7   3.2 GB: 5-of-7   3.2 GB: 6-of-7   3.1 GB: 7-of-7
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.33.1
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16
Tiiuae Falcon 40B Instruct W4 G128 AWQ (abhinavkulkarni/tiiuae-falcon-40b-instruct-w4-g128-awq)

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Note: green Score (e.g. "73.2") means that the model is better than abhinavkulkarni/tiiuae-falcon-40b-instruct-w4-g128-awq.

Rank the Tiiuae Falcon 40B Instruct W4 G128 AWQ 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 v2024072803
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