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Pallas 0.5 LASER 0.1 by Mihaiii

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  Autotrain compatible Base model:finetune:mihaiii/pa...   Base model:mihaiii/pallas-0.5   Llama   Pytorch   Region:us   Sharded

Pallas 0.5 LASER 0.1 Benchmarks

ARC: 64.68 vs 96.7 (so35)-33.1%
HellaSwag: 83.49 vs 95.3 (gpt4)-12.4%
MMLU: 74.94 vs 88.3 (so35)-15.1%
TruthfulQA: 56.78 vs 59 (gpt4)-3.8%
WinoGrande: 81.29 vs 87.5 (gpt4)-7.1%
GSM8K: 60.2 vs 96.4 (so35)-37.6%
LLME Score: 0.20177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Pallas 0.5 LASER 0.1 Parameters and Internals

LLM NamePallas 0.5 LASER 0.1
Repository 🤗https://huggingface.co/Mihaiii/Pallas-0.5-LASER-0.1 
Base Model(s)  Mihaiii/Pallas-0.5   Mihaiii/Pallas-0.5
Required VRAM68.9 GB
Updated2024-10-18
MaintainerMihaiii
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16
Pallas 0.5 LASER 0.1 (Mihaiii/Pallas-0.5-LASER-0.1)

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Note: green Score (e.g. "73.2") means that the model is better than Mihaiii/Pallas-0.5-LASER-0.1.

Rank the Pallas 0.5 LASER 0.1 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 v2024072803
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