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Falcon 40B Sft Mix 1226 by OpenAssistant

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Falcon 40B Sft Mix 1226 is an open-source language model by OpenAssistant. Features: 40b LLM, VRAM: 83.6GB, License: apache-2.0, LLM Explorer Score: 0.08.

  Autotrain compatible   Custom code Dataset:databricks/databricks-...   Dataset:openassistant/oasst1   De   En   Es   Fr   Pytorch   Refinedweb   Region:us   Sft   Sharded
Model Card on HF 🤗: https://huggingface.co/OpenAssistant/falcon-40b-sft-mix-1226 

Falcon 40B Sft Mix 1226 Benchmarks

LLME Score: 0.07966
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 (OpenAssistant/falcon-40b-sft-mix-1226)
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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
Updated2025-09-23
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

Best Alternatives to Falcon 40B Sft Mix 1226

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Context / RAM
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Alfred 40B 10230K / 83.6 GB163849
Vulture 40B0K / 81.8 GB14388
Docsgpt 40B Falcon0K / 82.5 GB1613
Alfred 40B 07230K / 83.6 GB946
Openbuddy Falcon 40B V9 Bf160K / 82.6 GB74
Openbuddy Falcon 40B V9 Bf160K / 82.6 GB54
...alcon 40B Lora Sft Stage2 1.1K0K / 82.5 GB60
Falcon 40B0K / 83.6 GB71
Falcon 40B Sft Top1 5600K / 83.6 GB16751
...m Oasst1 En 2048 Falcon 40B V20K / 83.6 GB918
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

🆘 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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