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Falcon 11B by tiiuae

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Falcon 11B is an open-source language model by tiiuae. Features: 11b LLM, VRAM: 22.1GB, Context: 8K, License: unknown, LLM Explorer Score: 0.23, Arc: 59.7, HellaSwag: 82.9, MMLU: 58.4, GSM8K: 53.8.

  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2307.08691   Arxiv:2311.16867   Arxiv:2407.14885   Conversational   Cs   Custom code Dataset:tiiuae/falcon-refinedw...   De   En   Es   Falcon   Fr   It   Nl   Pl   Pt   Region:us   Ro   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tiiuae/falcon-11B 

Falcon 11B Benchmarks

ARC: 59.73 vs 96.7 (so35)-38.2%
HellaSwag: 82.91 vs 95.3 (gpt4)-13%
MMLU: 58.37 vs 88.3 (so35)-33.9%
GSM8K: 53.83 vs 96.4 (so35)-44.2%
LLME Score: 0.22513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 11B (tiiuae/falcon-11B)
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Falcon 11B Parameters and Internals

Model Type 
causal decoder-only
Use Cases 
Areas:
Research
Applications:
summarization, text generation, chatbot
Limitations:
Not suitable for production use without adequate assessment of risks
Additional Notes 
The model requires further fine-tuning for specific use cases and includes biases representative of web data.
Supported Languages 
en (English), de (German), es (Spanish), fr (French), it (Italian), nl (Dutch), pl (Polish), pt (Portuguese), ro (Romanian), cs (Czech), sv (Swedish)
Training Details 
Data Sources:
RefinedWeb, RefinedWeb-English, Refined Web-Europe (cs, de, es, fr, it, nl, pl, pt, ro, sv), high quality technical data, code data, conversational data extracted from public sources
Data Volume:
5,000B tokens
Methodology:
four stage training strategy
Context Length:
8192
Training Time:
approximately two months
Hardware Used:
1024 A100 40GB GPUs
Model Architecture:
Adapted from GPT-3 with rotary positional embeddings, multiquery attention, and FlashAttention2
Input Output 
Input Format:
Token-based input with context length up to 8192 tokens
Accepted Modalities:
text
Output Format:
Token-based output
Performance Tips:
Fine-tuning recommended for specific tasks
LLM NameFalcon 11B
Repository 🤗https://huggingface.co/tiiuae/falcon-11B 
Model Size11b
Required VRAM22.1 GB
Updated2026-04-27
Maintainertiiuae
Model Typefalcon
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   2.4 GB: 5-of-5
Supported Languagesen de es fr it nl pl pt ro cs
Model ArchitectureFalconForCausalLM
Licenseunknown
Context Length8192
Model Max Length8192
Transformers Version4.39.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size65024
Torch Data Typebfloat16

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Rank the Falcon 11B 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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