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Salamandra 7B by BSC-LT

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  Arxiv:1803.09010   Arxiv:1810.06694   Arxiv:1906.03741   Arxiv:1911.05507   Arxiv:2101.00027   Arxiv:2207.00220   Arxiv:2402.06619   Arxiv:2403.14009   Arxiv:2403.20266   Arxiv:2406.17557   Autotrain compatible   Bg   Ca   Code   Cs   Cy   Da Dataset:ai-team-uoa/greek lega...   Dataset:allenai/pes2o   Dataset:bigcode/starcoderdata Dataset:bjoernp/tagesschau-201... Dataset:community-datasets/hrw... Dataset:danish-foundation-mode... Dataset:eleutherai/the pile de...   Dataset:hitz/euscrawl   Dataset:hitz/latxa-corpus-v1.1 Dataset:hoskinson-center/proof... Dataset:huggingfacefw/fineweb-...   Dataset:joelito/legal-mc4 Dataset:joelniklaus/eurlex res... Dataset:oscar-corpus/colossal-... Dataset:pile-of-law/pile-of-la...   Dataset:pleias/french-pd-books Dataset:pleias/french-pd-newsp...   Dataset:portulan/parlamento-pt   Dataset:projecte-aina/catalog Dataset:togethercomputer/redpa...   Dataset:ufrgs/brwac   De   El   En   Endpoints compatible   Es   Et   Eu   Fi   Fr   Ga   Gl   Hr   Hu   It   Llama   Lt   Lv   Mt   Nl   Nn   Oc   Pl   Pt   Region:us   Ro   Ru   Safetensors   Sh   Sharded   Sk   Sl   Sr   Sv   Tensorflow   Uk
Model Card on HF 🤗: https://huggingface.co/BSC-LT/salamandra-7b 

Salamandra 7B Benchmarks

MMLU Pro: 5.47
GPQA: 2.68
MUSR: 1.86
BBH: 10.16
IFEval: 13.67 vs 88 (so35)-84.5%
LLME Score: 0.29416
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Salamandra 7B (BSC-LT/salamandra-7b)

Salamandra 7B Parameters and Internals

LLM NameSalamandra 7B
Repository 🤗https://huggingface.co/BSC-LT/salamandra-7b 
Model Size7b
Required VRAM15.6 GB
Updated2025-02-05
MaintainerBSC-LT
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   3.5 GB: 3-of-4   2.1 GB: 4-of-4
Supported Languagesbg ca code cs cy da de el en es et eu fi fr ga gl hr hu it lt lv mt nl nn oc pl pt ro ru sh sk sl sr sv uk
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than BSC-LT/salamandra-7b.

Rank the Salamandra 7B 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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