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Leniachat Gemma 2B V0 by LenguajeNaturalAI

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  Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Chat   Conversational   Endpoints compatible   Es   Gemma   Instruct   Multi-task-learning   Qa   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LenguajeNaturalAI/leniachat-gemma-2b-v0 

Leniachat Gemma 2B V0 Benchmarks

MMLU Pro: 1.89
GPQA: 2.13
MUSR: 3.64
BBH: 4.14
IFEval: 21.5 vs 88 (so35)-75.6%
MATH Lvl 5: 0.3
LLME Score: 0.22098
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Leniachat Gemma 2B V0 (LenguajeNaturalAI/leniachat-gemma-2b-v0)

Leniachat Gemma 2B V0 Parameters and Internals

Model Type 
text-generation-inference, transformers, chat, qa, multi-task-learning, instruction-tuning
Use Cases 
Applications:
text generation, chatbots, virtual assistants
Limitations:
Limited to Spanish language, Biases and errors possible due to model size
Considerations:
Evaluate performance in specific context and use responsibly
Additional Notes 
Model has limitations inherent to 2 billion parameter base size
Supported Languages 
es (high proficiency)
Training Details 
Methodology:
Three-phase training: multi-task learning, high-quality instruction tuning, chat and QA training
Context Length:
8192
Input Output 
Performance Tips:
Consider hardware capabilities due to model size
LLM NameLeniachat Gemma 2B V0
Repository 🤗https://huggingface.co/LenguajeNaturalAI/leniachat-gemma-2b-v0 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM15.1 GB
Updated2024-12-22
MaintainerLenguajeNaturalAI
Model Typegemma
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.9 GB: 1-of-3   0.1 GB: 2-of-2   5.0 GB: 2-of-3   0.1 GB: 3-of-3
Supported Languageses
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token[PAD]
Vocabulary Size256008
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LenguajeNaturalAI/leniachat-gemma-2b-v0.

Rank the Leniachat Gemma 2B V0 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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Release v20241217
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