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Neurona 2B by Iker

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  Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Conversational Dataset:glaiveai/glaive-code-a... Dataset:glaiveai/glaive-functi...   Dataset:helsinki-nlp/opus-100 Dataset:iker/document-translat... Dataset:iker/instructtranslati... Dataset:iker/openhermes-2.5-sp... Dataset:projecte-aina/rag mult...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Es   Gemma   Region:us   Safetensors   Sharded   Synthetic   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Iker/Neurona-2b 

Neurona 2B Benchmarks

ARC: 44.8 vs 96.7 (so35)-53.7%
HellaSwag: 62.45 vs 95.3 (gpt4)-34.5%
MMLU: 38.1 vs 88.3 (so35)-56.9%
TruthfulQA: 46.38 vs 59 (gpt4)-21.4%
WinoGrande: 53.28 vs 87.5 (gpt4)-39.1%
GSM8K: 24.41 vs 96.4 (so35)-74.7%
LLME Score: 0.22159
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neurona 2B (Iker/Neurona-2b)

Neurona 2B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research
Applications:
text generation in Spanish and English
Primary Use Cases:
multilingual text generation including RAG, function calling, code assistance
Additional Notes 
Neurona 2B is currently a beta model, being developed as an experiment to enhance the scripts and infrastructure for future iterations.
Training Details 
Data Sources:
teknium/OpenHermes-2.5, Iker/OpenHermes-2.5-Spanish, projecte-aina/RAG_Multilingual, Iker/Document-Translation-en-es, Iker/InstructTranslation-EN-ES, Helsinki-NLP/opus-100, glaiveai/glaive-code-assistant-v3, glaiveai/glaive-function-calling-v2
Context Length:
8192
Hardware Used:
4xNvidia A100 80Gb, axolotl
Model Architecture:
AutoModelForCausalLM
LLM NameNeurona 2B
Repository 🤗https://huggingface.co/Iker/Neurona-2b 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM5.1 GB
Updated2025-02-22
MaintainerIker
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languageses en
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256016
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Iker/Neurona-2b.

Rank the Neurona 2B 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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Release v20241227
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