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Gemma2 2B It Codealpaca by ehristoforu

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Gemma2 2B It Codealpaca is an open-source language model by ehristoforu. Features: 2b LLM, VRAM: 5.2GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-2b-...   Conversational   En   Endpoints compatible   Gemma2   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ehristoforu/Gemma2-2b-it-codealpaca 

Gemma2 2B It Codealpaca Benchmarks

LLME Score: 0.14754
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma2 2B It Codealpaca (ehristoforu/Gemma2-2b-it-codealpaca)
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Gemma2 2B It Codealpaca Parameters and Internals

Model Type 
text-generation-inference, transformers
Training Details 
Methodology:
Finetuned with Huggingface's TRL library and trained 2x faster with Unsloth.
LLM NameGemma2 2B It Codealpaca
Repository 🤗https://huggingface.co/ehristoforu/Gemma2-2b-it-codealpaca 
Base Model(s)  Gemma 2 2B It Bnb 4bit   unsloth/gemma-2-2b-it-bnb-4bit
Model Size2b
Required VRAM5.2 GB
Updated2026-03-09
Maintainerehristoforu
Model Typegemma2
Model Files  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 Version4.44.0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/Gemma2-2b-it-codealpaca.

Rank the Gemma2 2B It Codealpaca Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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