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Aitana 2B SI Instruct Aligned by gplsi

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Aitana 2B SI Instruct Aligned is an open-source language model by gplsi. Features: 2b LLM, VRAM: 4.5GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

  Alia   Alignment Base model:finetune:gplsi/aita... Base model:gplsi/aitana-2b-si-...   Ca   Conversational   Dataset:nvidia/helpsteer3   Dataset:open-orca/openorca   Dataset:openassistant/oasst1   Dataset:openassistant/oasst2   Dpo   En   Endpoints compatible   English   Es   Gplsi   Instruct   Llama   Region:us   Safetensors   Spanish   Valencian
Model Card on HF 🤗: https://huggingface.co/gplsi/Aitana-2B-SI-Instruct-Aligned 

Aitana 2B SI Instruct Aligned Benchmarks

LLME Score: 0.29209
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aitana 2B SI Instruct Aligned (gplsi/Aitana-2B-SI-Instruct-Aligned)
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Aitana 2B SI Instruct Aligned Parameters and Internals

LLM NameAitana 2B SI Instruct Aligned
Repository 🤗https://huggingface.co/gplsi/Aitana-2B-SI-Instruct-Aligned 
Base Model(s)  Aitana 2B SI Instruct   gplsi/Aitana-2B-SI-Instruct
Model Size2b
Required VRAM4.5 GB
Updated2026-05-31
Maintainergplsi
Model Typellama
Instruction-BasedYes
Model Files  4.5 GB
Supported Languagesca es en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.57.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size256000

Best Alternatives to Aitana 2B SI Instruct Aligned

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Context / RAM
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Likes
Aitana 2B SI Instruct8K / 4.5 GB180
Aitana 2B S IP Instruct8K / 4.5 GB670
Aitana 2B S Instruct Aligned8K / 6.9 GB1000
Salamandra 2B Fft Trenes8K / 4.5 GB320
SmolLM2 MedIT Upscale 2B8K / 4.2 GB135
Salamandra 2B Instruct8K / 4.5 GB235828
Llama3 2B Base8K / 4.7 GB461

Rank the Aitana 2B SI Instruct Aligned 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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