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Jenna V3 QGemma 2B by V3N0M

 »  All LLMs  »  V3N0M  »  Jenna V3 QGemma 2B   URL Share it on

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  4bit   Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-1.1-2...   Conversational   En   Endpoints compatible   Gemma   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/V3N0M/Jenna-v3-QGemma-2b 

Jenna V3 QGemma 2B Benchmarks

LLME Score: 0.19951
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jenna V3 QGemma 2B (V3N0M/Jenna-v3-QGemma-2b)

Jenna V3 QGemma 2B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
LLM NameJenna V3 QGemma 2B
Repository 🤗https://huggingface.co/V3N0M/Jenna-v3-QGemma-2b 
Base Model(s)  unsloth/gemma-1.1-2b-it-bnb-4bit   unsloth/gemma-1.1-2b-it-bnb-4bit
Model Size2b
Required VRAM5.1 GB
Updated2025-02-22
MaintainerV3N0M
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
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 V3N0M/Jenna-v3-QGemma-2b.

Rank the Jenna V3 QGemma 2B 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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