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GWQ 9B Preview2 by prithivMLmods

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GWQ 9B Preview2 is an open-source language model by prithivMLmods. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.4, ELO: 1412.

  9b Base model:finetune:prithivmlm... Base model:prithivmlmods/gwq-9...   Conversational   Cot   En   Endpoints compatible   Gemma2   Gwq   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/GWQ-9B-Preview2 

GWQ 9B Preview2 Benchmarks

LMSys ELO: 1412 vs 1272 (so35)11%
LLME Score: 0.39613
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GWQ 9B Preview2 (prithivMLmods/GWQ-9B-Preview2)
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GWQ 9B Preview2 Parameters and Internals

LLM NameGWQ 9B Preview2
Repository 🤗https://huggingface.co/prithivMLmods/GWQ-9B-Preview2 
Base Model(s)  GWQ 9B Preview   prithivMLmods/GWQ-9B-Preview
Model Size9b
Required VRAM18.6 GB
Updated2026-05-20
MaintainerprithivMLmods
Model Typegemma2
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Quantization Typefp16
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat16

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Rank the GWQ 9B Preview2 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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