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Openbuddy Falcon 40B V16.1 4K by OpenBuddy

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Openbuddy Falcon 40B V16.1 4K is an open-source language model by OpenBuddy. Features: 40b LLM, VRAM: 82.6GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 60.6, HellaSwag: 83.9, MMLU: 56.1, GSM8K: 36.8.

  De   En   Falcon   Fr   It   Ja   Ko   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-falcon-40b-v16.1-4k 

Openbuddy Falcon 40B V16.1 4K Benchmarks

ARC: 60.58 vs 96.7 (so35)-37.4%
HellaSwag: 83.86 vs 95.3 (gpt4)-12%
MMLU: 56.05 vs 88.3 (so35)-36.5%
GSM8K: 36.77 vs 96.4 (so35)-61.9%
LLME Score: 0.13061
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Falcon 40B V16.1 4K (OpenBuddy/openbuddy-falcon-40b-v16.1-4k)
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Openbuddy Falcon 40B V16.1 4K Parameters and Internals

Model Type 
text generation
Supported Languages 
zh (Chinese), en (English), fr (French), de (German), ja (Japanese), ko (Korean), it (Italian), ru (Russian)
LLM NameOpenbuddy Falcon 40B V16.1 4K
Repository 🤗https://huggingface.co/OpenBuddy/openbuddy-falcon-40b-v16.1-4k 
Model Size40b
Required VRAM82.6 GB
Updated2026-05-14
MaintainerOpenBuddy
Model Typefalcon
Model Files  4.7 GB: 1-of-18   4.9 GB: 2-of-18   4.6 GB: 3-of-18   4.9 GB: 4-of-18   4.6 GB: 5-of-18   4.9 GB: 6-of-18   4.6 GB: 7-of-18   4.9 GB: 8-of-18   4.6 GB: 9-of-18   4.9 GB: 10-of-18   4.6 GB: 11-of-18   4.9 GB: 12-of-18   4.6 GB: 13-of-18   4.9 GB: 14-of-18   4.6 GB: 15-of-18   4.9 GB: 16-of-18   4.6 GB: 17-of-18   1.9 GB: 18-of-18
Supported Languageszh en fr de ja ko it ru
Model ArchitectureFalconForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size70656
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-falcon-40b-v16.1-4k.

Rank the Openbuddy Falcon 40B V16.1 4K 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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