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Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed   URL Share it on

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Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed is an open-source language model by PrunaAI. Features: LLM, VRAM: 7.8GB, Context: 4K, Quantized, LLM Explorer Score: 0.14.

  4bit Base model:cognitivecomputatio... Base model:finetune:cognitivec...   Mistral   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-HQQ-4bit-smashed 

Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed Benchmarks

LLME Score: 0.14104
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed (PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-HQQ-4bit-smashed)
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Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The smashed model is directly compared to the original base model. Efficiency results may vary in other settings (e.g., other hardware, image size, batch size, ...).
Input Output 
Input Format:
Text input in the form of sentences.
Accepted Modalities:
text
Output Format:
Textual response or generation.
LLM NameCognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-HQQ-4bit-smashed 
Base Model(s)  cognitivecomputations/dolphin-2.9.2-Phi-3-Medium   cognitivecomputations/dolphin-2.9.2-Phi-3-Medium
Required VRAM7.8 GB
Updated2025-09-15
MaintainerPrunaAI
Model Typemistral
Model Files  7.8 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-HQQ-4bit-smashed.

Rank the Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium HQQ 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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