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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

Test Model Benchmarks

LLME Score: 0.22675
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Test Model Parameters and Internals

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
Updated2024-09-06
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
Test Model (taradepan/test-model)

Best Alternatives to Test Model

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Vi Gemma 2B RAG8K / 5.1 GB81911
Gemma 2B Bnb 4bit8K / 2.1 GB726714
Gemma 1.1 2B It Bnb 4bit8K / 2.1 GB12074
Gemma 2B It Bnb 4bit8K / 2.1 GB317117
My AwesomeFinance Model8K / 2.1 GB50
... 2.8 Gemma 2B HQQ 4bit Smashed8K / 2.1 GB60
... 2.8 Gemma 2B HQQ 1bit Smashed8K / 1.3 GB50
... 2.8 Gemma 2B HQQ 2bit Smashed8K / 1.6 GB50
Emo AI 3B8K / 5.1 GB51
Gemma 2B Sentiment8K / 5.1 GB130
Note: green Score (e.g. "73.2") means that the model is better than taradepan/test-model.

Rank the Test Model Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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