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Palmer 002 by appvoid

 »  All LLMs  »  appvoid  »  Palmer 002   URL Share it on

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  Autotrain compatible   Dataset:appvoid/no-prompt-15k   En   Endpoints compatible   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/appvoid/palmer-002 

Palmer 002 Benchmarks

ARC: 34.47 vs 96.7 (so35)-64.4%
HellaSwag: 59.41 vs 95.3 (gpt4)-37.7%
MMLU: 25.94 vs 88.3 (so35)-70.6%
TruthfulQA: 37.06 vs 59 (gpt4)-37.2%
WinoGrande: 62.67 vs 87.5 (gpt4)-28.4%
GSM8K: 1.21 vs 96.4 (so35)-98.7%
LLME Score: 0.21295
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Palmer 002 (appvoid/palmer-002)

Palmer 002 Parameters and Internals

Model Type 
text generation
Additional Notes 
Choose this if you prefer a base model without too much fine-tuning.
Supported Languages 
en (English)
Training Details 
Data Sources:
15,000 GPT-4 shuffled samples
Methodology:
Fine-tuning with lower learning rates
Training Time:
~3.5 P100 GPU hours
Hardware Used:
P100 GPUs
Model Architecture:
1.1B parameters language model
Input Output 
Input Format:
No prompt
Accepted Modalities:
text
Output Format:
text
LLM NamePalmer 002
Repository 🤗https://huggingface.co/appvoid/palmer-002 
Model Size1.1b
Required VRAM4.4 GB
Updated2025-02-22
Maintainerappvoid
Model Typellama
Model Files  4.4 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than appvoid/palmer-002.

Rank the Palmer 002 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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