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Test Model by taradepan

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Test Model is an open-source language model by taradepan. Features: 2b LLM, VRAM: 2.1GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4-bit   4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-bn...   Bitsandbytes   En   Endpoints compatible   Gemma   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/taradepan/test-model 

Test Model Benchmarks

LLME Score: 0.13465
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Test Model (taradepan/test-model)
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Test Model Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, trl, sft
Additional Notes 
The model was finetuned from unsloth/gemma-7b-bnb-4bit
Training Details 
Methodology:
Unsuloth and Huggingface's TRL library were used to train the model 2x faster.
LLM NameTest Model
Repository 🤗https://huggingface.co/taradepan/test-model 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM2.1 GB
Updated2026-05-16
Maintainertaradepan
Model Typegemma
Model Files  2.1 GB
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 taradepan/test-model.

Rank the Test Model 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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