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FLOR 6.3B Xat by xaviviro

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  Autotrain compatible Base model:finetune:projecte-a... Base model:projecte-aina/flor-...   Bloom   Ca   Catalan   Chatml   Dataset:xaviviro/oasst2 ca gpt   En   Endpoints compatible   Es   Finetuned   Gpt4   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/xaviviro/FLOR-6.3B-xat 

FLOR 6.3B Xat Benchmarks

ARC: 38.65 vs 96.7 (so35)-60%
HellaSwag: 63.76 vs 95.3 (gpt4)-33.1%
MMLU: 26.54 vs 88.3 (so35)-69.9%
TruthfulQA: 37.96 vs 59 (gpt4)-35.7%
WinoGrande: 62.43 vs 87.5 (gpt4)-28.7%
LLME Score: 0.19601
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FLOR 6.3B Xat (xaviviro/FLOR-6.3B-xat)

FLOR 6.3B Xat Parameters and Internals

LLM NameFLOR 6.3B Xat
Repository 🤗https://huggingface.co/xaviviro/FLOR-6.3B-xat 
Base Model(s)  projecte-aina/FLOR-6.3B   projecte-aina/FLOR-6.3B
Model Size6.3b
Required VRAM12.5 GB
Updated2025-02-22
Maintainerxaviviro
Model Typebloom
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   2.5 GB: 3-of-3
Supported Languagesca en es
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat16
Errorsreplace

Best Alternatives to FLOR 6.3B Xat

Best Alternatives
Context / RAM
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OpenHermes 2.5 FLOR 6.3B0K / 13 GB311
FLOR RAG EADOP0K / 12.4 GB210
FLOR 6.3B Instructed0K / 12.4 GB00
FlorRAG0K / 12.4 GB00
FLOR 6.3B0K / 12.5 GB00
Note: green Score (e.g. "73.2") means that the model is better than xaviviro/FLOR-6.3B-xat.

Rank the FLOR 6.3B Xat 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 v20241227
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