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

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

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  4bit   Autotrain compatible Base model:cognitivecomputatio... Base model:finetune:cognitivec...   Conversational   Endpoints compatible   Gemma   Pruna-ai   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed 

Cognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed Benchmarks

LLME Score: 0.20706
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 HQQ 4bit Smashed (PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed)

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

Model Type 
compressed, quantized, 4-bit
Use Cases 
Areas:
general
Applications:
use-case conditions testing
Additional Notes 
Results may vary depending on specific GPU processes and hardware used.
Training Details 
Data Sources:
WikiText
Methodology:
compressed with hqq
Input Output 
Input Format:
Tokenized input using AutoTokenizer from transformers.
Accepted Modalities:
text
Output Format:
Decoded text output
Performance Tips:
Runs might be affected by cuda overheads in initial executions.
LLM NameCognitivecomputations Dolphin 2.8 Gemma 2B HQQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.8-gemma-2b-HQQ-4bit-smashed 
Base Model(s)  cognitivecomputations/dolphin-2.8-gemma-2b   cognitivecomputations/dolphin-2.8-gemma-2b
Model Size2b
Required VRAM2.1 GB
Updated2024-12-22
MaintainerPrunaAI
Model Typegemma
Model Files  2.1 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-HQQ-4bit-smashed.

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241217
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