Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed by PrunaAI

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Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed (PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-bnb-4bit-smashed)

Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed Parameters and Internals

Model Type 
causal_language_model
Use Cases 
Primary Use Cases:
compression for cheaper, smaller, faster, greener AI models
Limitations:
Comparison results may vary depending on hardware, image size, batch size
Considerations:
Efficiency should be tested directly in use-case conditions.
Training Details 
Data Sources:
WikiText
Methodology:
llm-int8
Input Output 
Input Format:
Expected input in the form of text sequences tokenized using tokenizer.
Accepted Modalities:
text
Output Format:
Generates text sequences as output tokens.
Performance Tips:
Test the efficiency gains directly in your use-cases.
LLM NameCognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed
Repository ๐Ÿค—https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-bnb-4bit-smashed 
Base Model(s)  cognitivecomputations/dolphin-2.8-gemma-2b   cognitivecomputations/dolphin-2.8-gemma-2b
Model Size2b
Required VRAM2.2 GB
Updated2025-01-15
MaintainerPrunaAI
Model Typegemma
Model Files  2.2 GB
Quantization Type4bit
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.0
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 PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-bnb-4bit-smashed.

Rank the Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed Capabilities

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227