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Gemma 2 2B Opus Instruct by SaisExperiments

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Gemma 2 2B Opus Instruct is an open-source language model by SaisExperiments. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: gemma, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:google/gem... Base model:google/gemma-2-2b-i... Dataset:kalomaze/opus instruct...   Gemma2   Instruct   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/SaisExperiments/Gemma-2-2B-Opus-Instruct 

Gemma 2 2B Opus Instruct Benchmarks

MMLU Pro: 18.34
GPQA: 4.47
MUSR: 8.58
BBH: 19.53
IFEval: 47.5 vs 88 (so35)-46%
MATH Lvl 5: 5.06
LLME Score: 0.19973
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 Opus Instruct (SaisExperiments/Gemma-2-2B-Opus-Instruct)
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Gemma 2 2B Opus Instruct Parameters and Internals

Additional Notes 
Image associated with the model should be added to the repository.
Training Details 
Data Sources:
Opus_Instruct_25K
Data Volume:
39.5M tokens
Methodology:
LoRA (Low-rank Adaptation)
Context Length:
1024
Training Time:
9 hours
LLM NameGemma 2 2B Opus Instruct
Repository 🤗https://huggingface.co/SaisExperiments/Gemma-2-2B-Opus-Instruct 
Base Model(s)  Gemma 2 2B It   google/gemma-2-2b-it
Model Size2b
Required VRAM5.2 GB
Updated2026-04-14
MaintainerSaisExperiments
Model Typegemma2
Instruction-BasedYes
Model Files  5.2 GB
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.44.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Code Trans Gemma 2 2B Sft8K / 5.2 GB70
Gemma 2 2B Instruct8K / 5.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than SaisExperiments/Gemma-2-2B-Opus-Instruct.

Rank the Gemma 2 2B Opus Instruct 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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