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CausalLM Platypus 14B by KnutJaegersberg

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  Autotrain compatible Dataset:garage-baind/open-plat...   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/KnutJaegersberg/CausalLM-Platypus-14B 

CausalLM Platypus 14B Benchmarks

ARC: 56.91 vs 96.7 (so35)-41.1%
HellaSwag: 80.06 vs 95.3 (gpt4)-16%
MMLU: 64.98 vs 88.3 (so35)-26.4%
TruthfulQA: 47.57 vs 59 (gpt4)-19.4%
WinoGrande: 76.01 vs 87.5 (gpt4)-13.1%
GSM8K: 57.24 vs 96.4 (so35)-40.6%
LLME Score: 0.18564
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CausalLM Platypus 14B (KnutJaegersberg/CausalLM-Platypus-14B)

CausalLM Platypus 14B Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
platypus dataset
Methodology:
Trained with NEFTune
Training Time:
3 epochs
LLM NameCausalLM Platypus 14B
Repository 🤗https://huggingface.co/KnutJaegersberg/CausalLM-Platypus-14B 
Model Size14b
Required VRAM28.4 GB
Updated2025-02-05
MaintainerKnutJaegersberg
Model Typellama
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   3.5 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than KnutJaegersberg/CausalLM-Platypus-14B.

Rank the CausalLM Platypus 14B 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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Release v20241227
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