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Aitana 2B S Base by gplsi

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Aitana 2B S Base is an open-source language model by gplsi. Features: 2b LLM, VRAM: 4.5GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

  Alia Base model:bsc-lt/salamandra-2... Base model:quantized:bsc-lt/sa...   Ca   Catalan   Dataset:gplsi/alia amic   Dataset:gplsi/alia boua   Dataset:gplsi/alia dogv   Dataset:gplsi/alia les corts   Dataset:gplsi/alia tourism   En   Endpoints compatible   English   Es   Gguf   Gplsi   Llama   Quantized   Region:us   Safetensors   Spanish   Valencian
Model Card on HF 🤗: https://huggingface.co/gplsi/Aitana-2B-S-base 

Aitana 2B S Base Benchmarks

LLME Score: 0.22955
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aitana 2B S Base (gplsi/Aitana-2B-S-base)
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Aitana 2B S Base Parameters and Internals

LLM NameAitana 2B S Base
Repository 🤗https://huggingface.co/gplsi/Aitana-2B-S-base 
Base Model(s)  Salamandra 2B   BSC-LT/salamandra-2b
Model Size2b
Required VRAM4.5 GB
Updated2026-05-31
Maintainergplsi
Model Typellama
Model Files  4.5 GB   4.5 GB
Supported Languagesca es en
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.56.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size256000

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Aitana 2B S Instruct Aligned8K / 6.9 GB1000
Note: green Score (e.g. "73.2") means that the model is better than gplsi/Aitana-2B-S-base.

Rank the Aitana 2B S Base 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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