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GRMR 2B Instruct Old by qingy2024

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GRMR 2B Instruct Old is an open-source language model by qingy2024. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-...   En   Endpoints compatible   Gemma2   Instruct   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/qingy2024/GRMR-2B-Instruct-old 

GRMR 2B Instruct Old Benchmarks

LLME Score: 0.1686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GRMR 2B Instruct Old (qingy2024/GRMR-2B-Instruct-old)
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GRMR 2B Instruct Old Parameters and Internals

LLM NameGRMR 2B Instruct Old
Repository 🤗https://huggingface.co/qingy2024/GRMR-2B-Instruct-old 
Base Model(s)  Gemma 2 2B Bnb 4bit   unsloth/gemma-2-2b-bnb-4bit
Model Size2b
Required VRAM5.2 GB
Updated2026-04-27
Maintainerqingy2024
Model Typegemma2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   0.2 GB: 2-of-2   5.0 GB: 1-of-2   0.2 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemma2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.46.3
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Gemma 2 2B Opus Instruct8K / 5.2 GB132
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Gemma 2 2B It Coding8K / 5.2 GB1530
Gemma 2 2B It Instruction8K / 5.2 GB840
Gemma 2 2b Coding8K / 5.2 GB120
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/GRMR-2B-Instruct-old.

Rank the GRMR 2B Instruct Old 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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