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Gpt2 Dolly by lgaalves

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  Autotrain compatible Dataset:databricks/databricks-...   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/lgaalves/gpt2-dolly 

Gpt2 Dolly Benchmarks

ARC: 21.76 vs 96.7 (so35)-77.5%
HellaSwag: 30.77 vs 95.3 (gpt4)-67.7%
MMLU: 24.66 vs 88.3 (so35)-72.1%
TruthfulQA: 42.22 vs 59 (gpt4)-28.4%
WinoGrande: 49.57 vs 87.5 (gpt4)-43.3%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.16605
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gpt2 Dolly (lgaalves/gpt2-dolly)
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Gpt2 Dolly Parameters and Internals

Model Type 
auto-regressive, text-generation
Use Cases 
Areas:
text generation
Applications:
general, fine-tuning to downstream tasks
Limitations:
may produce false information, contains unfiltered content from the internet, which is not neutral
Additional Notes 
Model use and benchmarking details are available on HuggingFace's platform.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
databricks/databricks-dolly-15k
Methodology:
instruction fine-tuned using LoRA
Training Time:
1.5 hours
Hardware Used:
1 T4 GPU on Google Colab
Model Architecture:
GPT-2 transformer architecture
Input Output 
Input Format:
text input
Accepted Modalities:
text
Output Format:
generated text
LLM NameGpt2 Dolly
Repository 🤗https://huggingface.co/lgaalves/gpt2-dolly 
Model Size124.4m
Required VRAM0.2 GB
Updated2025-09-23
Maintainerlgaalves
Model Typegpt2
Model Files  0.2 GB   0.2 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.31.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than lgaalves/gpt2-dolly.

Rank the Gpt2 Dolly 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 v20241124
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