Gemma 2B Orca Mwp Lora V0.2 by macadeliccc

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Gemma 2B Orca Mwp Lora V0.2 is an open-source language model by macadeliccc. Features: 2b LLM, VRAM: 0.2GB, LLM Explorer Score: 0.14.

  4-bit   Bitsandbytes   Conversational   Endpoints compatible   Gemma   Lora   Region:us

Gemma 2B Orca Mwp Lora V0.2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gemma 2B Orca Mwp Lora V0.2 Parameters and Internals

LLM NameGemma 2B Orca Mwp Lora V0.2
Repository 🤗https://huggingface.co/macadeliccc/gemma-2b-orca-mwp-lora-v0.2 
Model Size2b
Required VRAM0.2 GB
Updated2026-04-27
Maintainermacadeliccc
Model Files  0.2 GB
Model ArchitectureAutoModelForCausalLM
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|down_proj|v_proj|q_proj|o_proj|k_proj|gate_proj
LoRA Alpha16
LoRA Dropout0.05
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than macadeliccc/gemma-2b-orca-mwp-lora-v0.2.

Rank the Gemma 2B Orca Mwp Lora V0.2 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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Release v20260328a