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Falcon 7B Instruct GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Falcon 7B Instruct GPTQ   URL Share it on

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  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2205.14135   4-bit   Autotrain compatible   Custom code Dataset:tiiuae/falcon-refinedw...   En   Gptq   Instruct   Quantized   Refinedwebmodel   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Falcon-7B-Instruct-GPTQ 

Falcon 7B Instruct GPTQ Benchmarks

LLME Score: 0.09598
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 GPTQ (TheBloke/Falcon-7B-Instruct-GPTQ)
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Falcon 7B Instruct GPTQ Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Research, Personal Use
Primary Use Cases:
Chatbots, Instruction-following applications
Limitations:
Not optimized for NLP benchmarks, Carries web stereotypes and biases
Considerations:
Develop guardrails and take precautions for production use.
Supported Languages 
en (English), fr (French)
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, Bai ze, GPT4All, GPTeacher
Data Volume:
250M tokens
Methodology:
Fined-tuned on instruct/chat datasets
Context Length:
2048
Hardware Used:
32 A100 40GB GPUs in P4d instances
Model Architecture:
Positionnal embeddings: rotary; Attention: multiquery and FlashAttention; Decoder-block: parallel attention/MLP with a single layer norm
Responsible Ai Considerations 
Fairness:
Model mainly trained on English data; may carry stereotypes and biases from the web.
Mitigation Strategies:
Develop guardrails and precautions for production use.
Input Output 
Input Format:
Prompt: 'User: prompt'
Accepted Modalities:
Text
Output Format:
Text completion
Performance Tips:
AutoGPTQ for better performance
LLM NameFalcon 7B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/Falcon-7B-Instruct-GPTQ 
Base Model(s)  ...on 7B Instruct Finance Advisor   themanas021/falcon-7b-instruct-Finance_Advisor
Model Size7b
Required VRAM5.9 GB
Updated2025-08-19
MaintainerTheBloke
Model TypeRefinedWebModel
Instruction-BasedYes
Model Files  5.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Falcon-7B-Instruct-GPTQ.

Rank the Falcon 7B Instruct GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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