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

 »  All LLMs  »  PrunaAI  »  Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed   URL Share it on

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Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 2b LLM, VRAM: 2.2GB, Context: 8K, Quantized, LLM Explorer Score: 0.14.

  4-bit   4bit Base model:cognitivecomputatio... Base model:quantized:cognitive...   Bitsandbytes   Gemma   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-bnb-4bit-smashed 

Cognitivecomputations Dolphin 2.8 Gemma 2B Bnb 4bit Smashed Benchmarks

LLME Score: 0.13602
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)
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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 🤗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
Updated2025-09-23
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  
Multi-Language Support and Translation  

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