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Test Model by taradepan

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  4-bit   4bit   Autotrain compatible 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: 0.20463
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)

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
Updated2024-12-22
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

Best Alternatives to Test Model

Best Alternatives
Context / RAM
Downloads
Likes
Vi Gemma 2B RAG8K / 5.1 GB89113
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Gemma 2B Bnb 4bit8K / 2.1 GB334015
Gemma 1.1 2B It Bnb 4bit8K / 2.1 GB12654
Gemma 2B It Bnb 4bit8K / 2.1 GB186918
My AwesomeFinance Model8K / 2.1 GB130
... 2.8 Gemma 2B HQQ 1bit Smashed8K / 1.3 GB120
... 2.8 Gemma 2B HQQ 4bit Smashed8K / 2.1 GB120
... 2.8 Gemma 2B HQQ 2bit Smashed8K / 1.6 GB110
Emo AI 3B8K / 5.1 GB121
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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