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Tiiuae Falcon 40B Instruct W4 G128 AWQ by abhinavkulkarni

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Tiiuae Falcon 40B Instruct W4 G128 AWQ is an open-source language model by abhinavkulkarni. Features: 40b LLM, VRAM: 22.3GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

  Awq   Custom code   Instruct   Pytorch   Quantized   Refinedweb   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/abhinavkulkarni/tiiuae-falcon-40b-instruct-w4-g128-awq 

Tiiuae Falcon 40B Instruct W4 G128 AWQ Benchmarks

LLME Score: 0.0803
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 (abhinavkulkarni/tiiuae-falcon-40b-instruct-w4-g128-awq)
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Tiiuae Falcon 40B Instruct W4 G128 AWQ Parameters and Internals

Model Type 
causal decoder-only, quantized
Additional Notes 
The model is finetuned on a mixture of chat/instruct datasets and has been quantized using the AWQ technique.
Supported Languages 
English (high proficiency)
Input Output 
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
July 5, 2023
Date:
2023-07-05
Notes:
Initial release of the 4-bit 128 group size AWQ quantized model.
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
Updated2026-05-14
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

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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  
Code Generation  
Multi-Language Support and Translation  

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