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Gemma 9B Chat by Sorawiz

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Gemma 9B Chat is an open-source language model by Sorawiz. Features: 9b LLM, VRAM: 20.4GB, Context: 8K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708 Base model:allura-org/g2-9b-al... Base model:bunnycore/gemma2-9b... Base model:dreadpoor/casuar-9b... Base model:lemon07r/gemma-2-at... Base model:thedrummer/gemmasut... Base model:touchnight/gemma-2-... Base model:triangle104/gemmade... Base model:zelk12/mt-gen6fix-g...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sorawiz/Gemma-9B-Chat 

Gemma 9B Chat Benchmarks

LLME Score: 0.18153
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 9B Chat (Sorawiz/Gemma-9B-Chat)
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Gemma 9B Chat Parameters and Internals

LLM NameGemma 9B Chat
Repository 🤗https://huggingface.co/Sorawiz/Gemma-9B-Chat 
Base Model(s)  Casuar 9B Model Stock   Gemmadevi Stock 10B   MT Gen6fix Gemma 2 9B   TheDrummer/Gemmasutra-9B-v1.1   G2 9B Aletheia V1   Gemma2 9B TitanFusion   Gemma 2 Ataraxy V4d 9B   ...2 Ifable Abliterated 9B Untied   DreadPoor/Casuar-9B-Model_Stock   Triangle104/Gemmadevi-Stock-10B   zelk12/MT-Gen6fix-gemma-2-9B   TheDrummer/Gemmasutra-9B-v1.1   allura-org/G2-9B-Aletheia-v1   bunnycore/Gemma2-9B-TitanFusion   lemon07r/Gemma-2-Ataraxy-v4d-9B   TouchNight/gemma-2-Ifable-abliterated-9B-untied
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2026-04-10
MaintainerSorawiz
Model Typegemma2
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   5.0 GB: 4-of-5   0.5 GB: 5-of-5
Model ArchitectureGemma2ForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.48.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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...erge 02012025163610 Gemma 2 9B8K / 20.4 GB530
Note: green Score (e.g. "73.2") means that the model is better than Sorawiz/Gemma-9B-Chat.

Rank the Gemma 9B Chat Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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