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Gemma 2 2B LoRA MonsterInstruct by monsterapi

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  Arxiv:1910.09700   Autotrain compatible   Conversational Dataset:monsterapi/monsterinst...   En   Endpoints compatible   Gemma2   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/monsterapi/gemma-2-2b-LoRA-MonsterInstruct 

Gemma 2 2B LoRA MonsterInstruct Benchmarks

MMLU Pro: 10.97
GPQA: 2.68
MUSR: 5.41
BBH: 11.97
IFEval: 39.03 vs 88 (so35)-55.6%
MATH Lvl 5: 1.13
LLME Score: 0.24483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2 2B LoRA MonsterInstruct (monsterapi/gemma-2-2b-LoRA-MonsterInstruct)

Gemma 2 2B LoRA MonsterInstruct Parameters and Internals

Model Type 
Gemma-2-2B
Supported Languages 
en (Finetuned on EN dataset still support other languages)
LLM NameGemma 2 2B LoRA MonsterInstruct
Repository 🤗https://huggingface.co/monsterapi/gemma-2-2b-LoRA-MonsterInstruct 
Model Size2b
Required VRAM10.5 GB
Updated2025-01-15
Maintainermonsterapi
Model Typegemma2
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
LoRA ModelYes
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than monsterapi/gemma-2-2b-LoRA-MonsterInstruct.

Rank the Gemma 2 2B LoRA MonsterInstruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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