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Gemma2 2B OpenHermes2.5 by artificialguybr

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  Autotrain compatible   Chatml   Dataset:teknium/openhermes-2.5   Distillation   En   Endpoints compatible   Finetuned   Gemma   Gemma2   Gpt4   Instruct   Region:us   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/artificialguybr/Gemma2-2B-OpenHermes2.5 

Gemma2 2B OpenHermes2.5 Benchmarks

LLME Score: 0.21682
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 2B OpenHermes2.5 (artificialguybr/Gemma2-2B-OpenHermes2.5)

Gemma2 2B OpenHermes2.5 Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Primary Use Cases:
text generation, question answering, general language understanding
Limitations:
Not suitable for generating harmful or biased content
Considerations:
Users should be aware of potential biases in the training data.
Supported Languages 
English (proficient)
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Hardware Used:
NVIDIA A100-SXM4-80GB (1 GPU)
LLM NameGemma2 2B OpenHermes2.5
Repository 🤗https://huggingface.co/artificialguybr/Gemma2-2B-OpenHermes2.5 
Model Size2b
Required VRAM5.2 GB
Updated2025-01-23
Maintainerartificialguybr
Model Typegemma2
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2   5.2 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.43.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than artificialguybr/Gemma2-2B-OpenHermes2.5.

Rank the Gemma2 2B OpenHermes2.5 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 v20241227
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