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Bertin GPT J 6B Alpaca by bertin-project

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  Alpaca   Autotrain compatible Dataset:bertin-project/alpaca-...   Endpoints compatible   Es   F16   F32   Ggml   Gptj   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca 

Bertin GPT J 6B Alpaca Benchmarks

ARC: 36.01 vs 96.7 (so35)-62.8%
HellaSwag: 54.3 vs 95.3 (gpt4)-43%
MMLU: 27.66 vs 88.3 (so35)-68.7%
TruthfulQA: 43.38 vs 59 (gpt4)-26.5%
WinoGrande: 55.8 vs 87.5 (gpt4)-36.2%
LLME Score: 0.12714
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bertin GPT J 6B Alpaca (bertin-project/bertin-gpt-j-6B-alpaca)

Bertin GPT J 6B Alpaca Parameters and Internals

Model Type 
text generation
Supported Languages 
es (native)
Training Details 
Data Sources:
https://huggingface.co/datasets/bertin-project/alpaca-spanish
Context Length:
2048
Training Time:
3 hours on TPUv3-8
Hardware Used:
TPUv3-8
Input Output 
Input Format:
A continuación hay una instrucción que describe una tarea. Escribe una respuesta que complete adecuadamente lo que se pide. ### Instrucción: ... ### Respuesta:
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Prompt must be in Spanish.
LLM NameBertin GPT J 6B Alpaca
Repository 🤗https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca 
Model Size6b
Required VRAM24.4 GB
Updated2025-05-09
Maintainerbertin-project
Model Typegptj
Model Files  12.1 GB   24.2 GB   5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.6 GB: 5-of-5   5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.6 GB: 5-of-5
Supported Languageses
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureGPTJForCausalLM
Licenseopenrail
Model Max Length2048
Transformers Version4.27.3
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50400
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than bertin-project/bertin-gpt-j-6B-alpaca.

Rank the Bertin GPT J 6B Alpaca 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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