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QuantumQuill by Stefan171

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  4bit   Autotrain compatible Base model:finetune:unsloth/ti... Base model:unsloth/tinyllama-b...   Dataset:meta-math/metamathqa   En   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sft   Trl   Unsloth

QuantumQuill Benchmarks

ARC: 25.34 vs 96.7 (so35)-73.8%
HellaSwag: 27.24 vs 95.3 (gpt4)-71.4%
MMLU: 23.2 vs 88.3 (so35)-73.7%
TruthfulQA: 48 vs 59 (gpt4)-18.6%
WinoGrande: 50.28 vs 87.5 (gpt4)-42.5%
LLME Score: 0.25608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

QuantumQuill Parameters and Internals

LLM NameQuantumQuill
Repository 🤗https://huggingface.co/Stefan171/QuantumQuill 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM2.2 GB
Updated2024-10-18
MaintainerStefan171
Model Typellama
Model Files  2.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
QuantumQuill (Stefan171/QuantumQuill)

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Rank the QuantumQuill 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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