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Cognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed by PrunaAI

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Cognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed is an open-source language model by PrunaAI. Features: 7b LLM, VRAM: 4.5GB, Context: 32K, Quantized, LLM Explorer Score: 0.12.

  4-bit   4bit Base model:cognitivecomputatio... Base model:quantized:cognitive...   Bitsandbytes   Mistral   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.2.1-mistral-7b-bnb-4bit-smashed 

Cognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed Benchmarks

LLME Score: 0.12373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed (PrunaAI/cognitivecomputations-dolphin-2.2.1-mistral-7b-bnb-4bit-smashed)
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Cognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed Parameters and Internals

Model Type 
compressed, optimized
Use Cases 
Considerations:
Efficiency results may vary based on hardware, image size, and other conditions.
Input Output 
Input Format:
AutoModelForCausalLM, AutoTokenizer
Accepted Modalities:
text
Output Format:
text generation
Performance Tips:
Run under specific use-case conditions to see efficiency gains.
LLM NameCognitivecomputations Dolphin 2.2.1 Mistral 7B Bnb 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.2.1-mistral-7b-bnb-4bit-smashed 
Base Model(s)  cognitivecomputations/dolphin-2.2.1-mistral-7b   cognitivecomputations/dolphin-2.2.1-mistral-7b
Model Size7b
Required VRAM4.5 GB
Updated2025-09-23
MaintainerPrunaAI
Model Typemistral
Model Files  4.5 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-dolphin-2.2.1-mistral-7b-bnb-4bit-smashed.

Rank the Cognitivecomputations Dolphin 2.2.1 Mistral 7B 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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