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Gemma Summarizer 2B It LORA Bnb 4bit by Labagaite

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Gemma Summarizer 2B It LORA Bnb 4bit is an open-source language model by Labagaite. Features: 2b LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit Base model:adapter:unsloth/gem... Base model:unsloth/gemma-2b-it...   Bitsandbytes   Conversational   Endpoints compatible   Fr   Gemma   Lora   Quantized   Region:us   Safetensors   Summarizer   Unsloth
Model Card on HF 🤗: https://huggingface.co/Labagaite/gemma-Summarizer-2b-it-LORA-bnb-4bit 

Gemma Summarizer 2B It LORA Bnb 4bit Benchmarks

LLME Score: 0.12863
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma Summarizer 2B It LORA Bnb 4bit (Labagaite/gemma-Summarizer-2b-it-LORA-bnb-4bit)
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Gemma Summarizer 2B It LORA Bnb 4bit Parameters and Internals

Model Type 
text generation, transformers, summarizer
Use Cases 
Areas:
research, commercial applications
Applications:
transcribing and summarizing meetings
Primary Use Cases:
summarizing French audio podcast transcription data
Additional Notes 
Trained for French audio podcast summarization; used in Report Maker for automating transcription and summarization.
Supported Languages 
fr (fluent)
Training Details 
Data Sources:
https://huggingface.co/datasets/Labagaite/fr-summarizer-dataset
Data Volume:
7.65 MB, 1.97k training rows, 440 validation rows
Methodology:
Fine-tuned using Unsloth and Huggingface's TRL library
Training Time:
2x faster with Unsloth
LLM NameGemma Summarizer 2B It LORA Bnb 4bit
Repository 🤗https://huggingface.co/Labagaite/gemma-Summarizer-2b-it-LORA-bnb-4bit 
Base Model(s)  Gemma 2B It Bnb 4bit   unsloth/gemma-2b-it-bnb-4bit
Model Size2b
Required VRAM0.1 GB
Updated2026-03-29
MaintainerLabagaite
Model Files  0.1 GB   2.1 GB
Supported Languagesfr
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|o_proj|up_proj|q_proj|v_proj|k_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than Labagaite/gemma-Summarizer-2b-it-LORA-bnb-4bit.

Rank the Gemma Summarizer 2B It LORA Bnb 4bit 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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