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Irida SCE 9B by yamatazen

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

  Merged Model   Arxiv:2408.07990 Base model:axcxept/ezo-common-... Base model:axcxept/ezo-humanit... Base model:ilyagusev/gemma-2-9... Base model:lemon07r/gemma-2-at...   Conversational   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/yamatazen/Irida-SCE-9B 

Irida SCE 9B Benchmarks

LLME Score: 0.1825
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Irida SCE 9B (yamatazen/Irida-SCE-9B)
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Irida SCE 9B Parameters and Internals

LLM NameIrida SCE 9B
Repository 🤗https://huggingface.co/yamatazen/Irida-SCE-9B 
Base Model(s)  EZO Humanities 9B Gemma 2 It   Gemma 2 9B It Abliterated   EZO Common 9B Gemma 2 It   Gemma 2 Ataraxy V4d 9B   AXCXEPT/EZO-Humanities-9B-gemma-2-it   IlyaGusev/gemma-2-9b-it-abliterated   AXCXEPT/EZO-Common-9B-gemma-2-it   lemon07r/Gemma-2-Ataraxy-v4d-9B
Merged ModelYes
Model Size9b
Required VRAM20.4 GB
Updated2026-04-05
Maintaineryamatazen
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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Note: green Score (e.g. "73.2") means that the model is better than yamatazen/Irida-SCE-9B.

Rank the Irida SCE 9B 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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