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Delirium V1 by sam-paech

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  Autotrain compatible Base model:finetune:unsloth/ge... Base model:unsloth/gemma-2-9b-...   Conversational   Creative   Creative-writing Dataset:sam-paech/gutenbergs 1...   Endpoints compatible   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sam-paech/Delirium-v1 

Delirium V1 Benchmarks

MMLU Pro: 35.44
GPQA: 12.42
MUSR: 15.23
BBH: 42.32
IFEval: 72.08 vs 88 (so35)-18.1%
MATH Lvl 5: 12.92
LLME Score: 0.34308
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Delirium V1 (sam-paech/Delirium-v1)

Delirium V1 Parameters and Internals

LLM NameDelirium V1
Repository 🤗https://huggingface.co/sam-paech/Delirium-v1 
Base Model(s)  Gemma 2 9B It   unsloth/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2024-12-22
Maintainersam-paech
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
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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MT3 Gen4 Gemma 2 9B8K / 20.4 GB191
MT4 Gen2 Gemma 2 9B8K / 20.4 GB1803
Darkest Muse V18K / 20.4 GB28625
Magnum V4 9B8K / 18.6 GB266314
MT4 Gen4 Gemma 2 9B8K / 20.4 GB240
Note: green Score (e.g. "73.2") means that the model is better than sam-paech/Delirium-v1.

Rank the Delirium V1 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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Release v20241217
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