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Vikhr Gemma 2B Instruct by Vikhrmodels

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  Arxiv:2405.13929   Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-2b-i...   Conversational Dataset:vikhrmodels/grandmaste...   Endpoints compatible   Gemma2   Instruct   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/Vikhr-Gemma-2B-instruct 

Vikhr Gemma 2B Instruct Benchmarks

LLME Score: 0.25526
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vikhr Gemma 2B Instruct (Vikhrmodels/Vikhr-Gemma-2B-instruct)

Vikhr Gemma 2B Instruct Parameters and Internals

Model Type 
Language Model, Instructive Model
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Russian Language Processing
Supported Languages 
ru (Proficient)
Training Details 
Data Sources:
Vikhrmodels/GrandMaster-PRO-MAX
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text
LLM NameVikhr Gemma 2B Instruct
Repository 🤗https://huggingface.co/Vikhrmodels/Vikhr-Gemma-2B-instruct 
Model NameVikhr-Gemma-2B-instruct
Base Model(s)  Gemma 2 2B It   google/gemma-2-2b-it
Model Size2b
Required VRAM10.5 GB
Updated2024-12-21
MaintainerVikhrmodels
Model Typegemma2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   0.5 GB: 3-of-3
Supported Languagesru
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<unk>
Vocabulary Size256000
Torch Data Typefloat32

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Gemma 2 2B Opus Instruct8K / 5.2 GB170
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GRMR 2B Instruct Old8K / 5.2 GB8513
Gemma 2 2B Id Instruct8K / 5.2 GB750
Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/Vikhr-Gemma-2B-instruct.

Rank the Vikhr Gemma 2B 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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Release v20241217
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