Falcon 7B 4K Alibi by openaccess-ai-collective

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  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2101.00027   Arxiv:2104.09864   Arxiv:2205.14135   Autotrain compatible   Custom code   Endpoints compatible   Pytorch   Refinedwebmodel   Region:us   Sharded

Falcon 7B 4K Alibi 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 4K Alibi (openaccess-ai-collective/falcon-7b-4k-alibi)
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Falcon 7B 4K Alibi Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Research, Fine-tuning for specific use cases
Applications:
Summarization, Text generation, Chatbot
Limitations:
Production use without adequate assessment of risks and mitigation, Use in non-English or non-French languages
Considerations:
Consider finetuning for specific tasks of interest and ensure appropriate precautions for any production use.
Additional Notes 
Falcon-7B is a raw pretrained model and should be finetuned for most use cases.
Supported Languages 
English (high), French (high)
Training Details 
Data Sources:
RefinedWeb, Books, Conversations, Code, RefinedWeb-French, Technical
Data Volume:
1,500B tokens
Methodology:
2D parallelism strategy with ZeRO
Context Length:
2048
Training Time:
two weeks
Hardware Used:
384 A100 40GB GPUs
Model Architecture:
Causal decoder-only model with rotary positionnal embeddings, multiquery and FlashAttention
LLM NameFalcon 7B 4K Alibi
Repository ๐Ÿค—https://huggingface.co/openaccess-ai-collective/falcon-7b-4k-alibi 
Model Size7b
Required VRAM13.8 GB
Updated2025-09-23
Maintaineropenaccess-ai-collective
Model TypeRefinedWebModel
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length16384
Transformers Version4.27.4
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 openaccess-ai-collective/falcon-7b-4k-alibi.

Rank the Falcon 7B 4K Alibi 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 v20241124