FLOR RAG EADOP by crodri

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FLOR RAG EADOP is an open-source language model by crodri. Features: 6.3b LLM, VRAM: 12.4GB, License: apache-2.0, LLM Explorer Score: 0.14.

  Autotrain compatible   Bloom   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow

FLOR RAG EADOP Benchmarks

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

FLOR RAG EADOP Parameters and Internals

Additional Notes 
The model was trained on both training and validation sets along with additional 340 EADOP synthetic samples.
LLM NameFLOR RAG EADOP
Repository 🤗https://huggingface.co/crodri/FLOR_RAG_EADOP 
Model Size6.3b
Required VRAM12.4 GB
Updated2025-01-28
Maintainercrodri
Model Typebloom
Model Files  9.9 GB: 1-of-2   2.5 GB: 2-of-2
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat16
Errorsreplace

Best Alternatives to FLOR RAG EADOP

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OpenHermes 2.5 FLOR 6.3B0K / 13 GB8111
FLOR 6.3B Xat0K / 12.5 GB100
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FlorRAG0K / 12.4 GB00
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Note: green Score (e.g. "73.2") means that the model is better than crodri/FLOR_RAG_EADOP.

Rank the FLOR RAG EADOP 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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Release v20260328a