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Flor1.3RAG by projecte-aina

 »  All LLMs  »  projecte-aina  »  Flor1.3RAG   URL Share it on

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  Autotrain compatible   Bloom   Ca   En   Endpoints compatible   Es   Rag   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/projecte-aina/Flor1.3RAG 

Flor1.3RAG Benchmarks

LLME Score: 0.18403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Flor1.3RAG (projecte-aina/Flor1.3RAG)

Flor1.3RAG Parameters and Internals

Model Type 
transformer-based, causal language model
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, question answering
Considerations:
The model may have biases and undesirable distortions.
Supported Languages 
Catalan (high), Spanish (high), English (high)
Training Details 
Data Sources:
PureInstructQA dataset
Data Volume:
82,539 QA instruction examples
Model Architecture:
Transformer-based
Input Output 
Input Format:
Formatted text with instructions and context
Accepted Modalities:
text
Output Format:
generated text for QA
LLM NameFlor1.3RAG
Repository 🤗https://huggingface.co/projecte-aina/Flor1.3RAG 
Model Size1.3b
Required VRAM2.6 GB
Updated2024-12-21
Maintainerprojecte-aina
Model Typebloom
Model Files  2.6 GB
Supported Languagesca es en
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 Flor1.3RAG

Best Alternatives
Context / RAM
Downloads
Likes
Carballo Finetuned0K / 5.3 GB4340
FLOR 1.3B Xat0K / 2.6 GB240
RAGFlor1.30K / 2.6 GB300
RAGGFlor1.30K / 2.6 GB80
FLOR 1.3B Instructed0K / 2.6 GB190
CaBloom1.3 MultiQA0K / 2.6 GB210
CaBloom1.3 QA0K / 2.6 GB170
Bloom1.3 Meteo0K / 2.6 GB170
Hoa 1b40K / 5.2 GB9801
Bloom 1b5 Clp German0K / 5.2 GB5878
Note: green Score (e.g. "73.2") means that the model is better than projecte-aina/Flor1.3RAG.

Rank the Flor1.3RAG 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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