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Falcon 7B by tiiuae

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Falcon 7B is an open-source language model by tiiuae. Features: 7b LLM, VRAM: 14.4GB, License: apache-2.0, HF Score: 44.2, LLM Explorer Score: 0.24, Arc: 47.9, HellaSwag: 78.1, MMLU: 27.8, TruthfulQA: 34.3, WinoGrande: 72.4, GSM8K: 4.6.

  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2101.00027   Arxiv:2104.09864   Arxiv:2205.14135   Arxiv:2306.01116   Custom code Dataset:tiiuae/falcon-refinedw...   Deploy:azure   En   Falcon   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tiiuae/falcon-7b 

Falcon 7B Benchmarks

MMLU Pro: 1.39
MUSR: 4.5
BBH: 5.96
IFEval: 18.21 vs 88 (so35)-79.3%
ARC: 47.87 vs 96.7 (so35)-50.5%
HellaSwag: 78.13 vs 95.3 (gpt4)-18%
MMLU: 27.79 vs 88.3 (so35)-68.5%
TruthfulQA: 34.26 vs 59 (gpt4)-41.9%
WinoGrande: 72.38 vs 87.5 (gpt4)-17.3%
GSM8K: 4.62 vs 96.4 (so35)-95.2%
MATH Lvl 5: 0.98
LLME Score: 0.23898
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B (tiiuae/falcon-7b)
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Falcon 7B Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Research on large language models, Foundation for further specialization and finetuning
Applications:
Summarization, Text generation, Chatbot
Limitations:
Falcon-7B is trained on English and French data only, Stereotypes and biases present in the web data may be reflected
Additional Notes 
This is a raw, pretrained model, which should be further finetuned for most use-cases.
Supported Languages 
English (High), German (Basic), Spanish (Basic), French (Basic), Italian (Limited), Portuguese (Limited), Polish (Limited), Dutch (Limited), Romanian (Limited), Czech (Limited), Swedish (Limited)
Training Details 
Data Sources:
RefinedWeb-English, Books, Conversations, Code, RefinedWeb-French, Technical
Data Volume:
1,500B tokens
Methodology:
Causal language modeling task
Context Length:
2048
Training Time:
two weeks
Hardware Used:
384 A100 40GB GPUs
Model Architecture:
Architecture adapted from the GPT-3 paper with variations like rotary positional embeddings and FlashAttention
Input Output 
Accepted Modalities:
Text
Output Format:
Text
Performance Tips:
Finetuning is recommended for specific use cases.
LLM NameFalcon 7B
Repository 🤗https://huggingface.co/tiiuae/falcon-7b 
Model Size7b
Required VRAM14.4 GB
Updated2026-04-05
Maintainertiiuae
Model Typefalcon
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.27.4
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Rank the Falcon 7B 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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