Model Card on HF 🤗: https://huggingface.co/apathi/norm-macdonald-ai
Norm Macdonald Ai Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Norm Macdonald Ai Parameters and Internals
| LLM Name | Norm Macdonald Ai |
| Repository 🤗 | https://huggingface.co/apathi/norm-macdonald-ai |
| Model Size | 354.8m |
| Required VRAM | 1.4 GB |
| Updated | 2025-08-24 |
| Maintainer | apathi |
| Model Type | gpt2 |
| Model Files | |
| Model Architecture | GPT2LMHeadModel |
| Model Max Length | 1024 |
| Transformers Version | 4.36.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to Norm Macdonald Ai
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Selflogic 16 | 0K / 0.7 GB | 58 | 1 |
| Selflogic 16 | 0K / 0.7 GB | 10 | 1 |
| Roast Bot | 0K / 1.4 GB | 9 | 1 |
| Womens Health Chatbot | 0K / 1.4 GB | 14 | 0 |
| VLM 1.1 K1 Preview | 0K / 1.4 GB | 5 | 0 |
| Latent Gpt2 Medium Alpaca E4 | 0K / 1.4 GB | 123 | 0 |
| Spin Gpt2 Medium Alpaca E3 | 0K / 1.4 GB | 124 | 0 |
| Latent Gpt2 Medium Alpaca E3 | 0K / 1.4 GB | 122 | 0 |
| Latent Gpt2 Medium Alpaca E2 | 0K / 1.4 GB | 122 | 0 |
| Spin Gpt2 Medium Alpaca E2 | 0K / 1.4 GB | 125 | 0 |
Rank the Norm Macdonald Ai Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124