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Titanbagel by cookinai

 »  All LLMs  »  cookinai  »  Titanbagel   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cookinai/titanbagel 

Titanbagel Benchmarks

ARC: 62.71 vs 96.7 (so35)-35.1%
HellaSwag: 83.36 vs 95.3 (gpt4)-12.5%
MMLU: 63.12 vs 88.3 (so35)-28.5%
TruthfulQA: 52.49 vs 59 (gpt4)-11%
WinoGrande: 79.08 vs 87.5 (gpt4)-9.6%
GSM8K: 44.5 vs 96.4 (so35)-53.8%
LLME Score: 0.17877
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Titanbagel (cookinai/titanbagel)

Titanbagel Parameters and Internals

Training Details 
Data Sources:
Hercules 3.0 Dataset
Methodology:
Finetuning
LLM NameTitanbagel
Repository 🤗https://huggingface.co/cookinai/titanbagel 
Model Size7b
Required VRAM14.4 GB
Updated2025-03-22
Maintainercookinai
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cookinai/titanbagel.

Rank the Titanbagel 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 v20241227
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