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Quill V1 by sam-paech

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  Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-9b-i...   Conversational   Creative-writing Dataset:sam-paech/gutenberg3-g...   Endpoints compatible   Gemma2   Gutenberg   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sam-paech/Quill-v1 

Quill V1 Benchmarks

MMLU Pro: 35.24
GPQA: 11.97
MUSR: 16.13
BBH: 42.6
IFEval: 71.22 vs 88 (so35)-19.1%
MATH Lvl 5: 11.86
LLME Score: 0.33452
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quill V1 (sam-paech/Quill-v1)

Quill V1 Parameters and Internals

LLM NameQuill V1
Repository 🤗https://huggingface.co/sam-paech/Quill-v1 
Base Model(s)  Gemma 2 9B It   google/gemma-2-9b-it
Model Size9b
Required VRAM18.6 GB
Updated2025-02-05
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
Context Length8192
Model Max Length8192
Transformers Version4.45.2
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 sam-paech/Quill-v1.

Rank the Quill 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 v20241227
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