Falcon 7B Sharded Bf16 by ybelkada

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Falcon 7B Sharded Bf16 is an open-source language model by ybelkada. Features: 7b LLM, VRAM: 14.4GB, LLM Explorer Score: 0.08.

  Endpoints compatible   Falcon   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Falcon 7B Sharded Bf16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B Sharded Bf16 (ybelkada/falcon-7b-sharded-bf16)
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Falcon 7B Sharded Bf16 Parameters and Internals

LLM NameFalcon 7B Sharded Bf16
Repository ๐Ÿค—https://huggingface.co/ybelkada/falcon-7b-sharded-bf16 
Model Size7b
Required VRAM14.4 GB
Updated2026-03-29
Maintainerybelkada
Model Typefalcon
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8   1.9 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8
Model ArchitectureFalconForCausalLM
Model Max Length2048
Transformers Version4.30.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ybelkada/falcon-7b-sharded-bf16.

Rank the Falcon 7B Sharded Bf16 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a