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Falcon 40B Instruct GPTQ by rmihaylov

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Falcon 40B Instruct GPTQ is an open-source language model by rmihaylov. Features: 40b LLM, VRAM: 22.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.08.

  4bit   Custom code   Gptq   Instruct   Quantized   Refinedweb   Region:us
Model Card on HF 🤗: https://huggingface.co/rmihaylov/falcon-40b-instruct-GPTQ 

Falcon 40B Instruct GPTQ Benchmarks

LLME Score: 0.07792
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 40B Instruct GPTQ (rmihaylov/falcon-40b-instruct-GPTQ)
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Falcon 40B Instruct GPTQ Parameters and Internals

LLM NameFalcon 40B Instruct GPTQ
Repository 🤗https://huggingface.co/rmihaylov/falcon-40b-instruct-GPTQ 
Base Model(s)  Medfalcon 40B Lora   nmitchko/medfalcon-40b-lora
Model Size40b
Required VRAM22.5 GB
Updated2026-02-08
Maintainerrmihaylov
Model TypeRefinedWeb
Instruction-BasedYes
Model Files  22.5 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

Best Alternatives to Falcon 40B Instruct GPTQ

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Falcon 40B Instruct GPTQ0K / 22.5 GB321197
...truct GPTQ Inference Endpoints0K / 22.5 GB52
Falcon 40B Instruct 8bit0K / 41.8 GB146
...alcon 40B Instruct W4 G128 AWQ0K / 22.3 GB72
H2ogpt Oig Oasst1 Falcon 40B0K / 82.5 GB1106
Note: green Score (e.g. "73.2") means that the model is better than rmihaylov/falcon-40b-instruct-GPTQ.

Rank the Falcon 40B Instruct GPTQ 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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