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Falcon 40B Sft Mix 1226 by OpenAssistant

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  Autotrain compatible   Custom code Dataset:databricks/databricks-...   Dataset:openassistant/oasst1   De   En   Es   Fr   Pytorch   Refinedweb   Region:us   Sft   Sharded

Falcon 40B Sft Mix 1226 Benchmarks

LLME Score: 0.12747
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Falcon 40B Sft Mix 1226 Parameters and Internals

LLM NameFalcon 40B Sft Mix 1226
Repository 🤗https://huggingface.co/OpenAssistant/falcon-40b-sft-mix-1226 
Model Size40b
Required VRAM83.6 GB
Updated2024-09-19
MaintainerOpenAssistant
Model TypeRefinedWeb
Model Files  9.5 GB: 1-of-9   9.5 GB: 2-of-9   9.5 GB: 3-of-9   9.5 GB: 4-of-9   9.5 GB: 5-of-9   9.5 GB: 6-of-9   9.5 GB: 7-of-9   9.5 GB: 8-of-9   7.6 GB: 9-of-9
Supported Languagesen de es fr
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.28.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65040
Torch Data Typebfloat16
Falcon 40B Sft Mix 1226 (OpenAssistant/falcon-40b-sft-mix-1226)

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Note: green Score (e.g. "73.2") means that the model is better than OpenAssistant/falcon-40b-sft-mix-1226.

Rank the Falcon 40B Sft Mix 1226 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.
Release v2024072803
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