Got Neo Var Ppo 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)
Got Neo Var Ppo Parameters and Internals
| LLM Name | Got Neo Var Ppo |
| Repository 🤗 | https://huggingface.co/eunyounglee/got-neo-var-ppo |
| Required VRAM | 0.5 GB |
| Updated | 2024-10-03 |
| Maintainer | eunyounglee |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|startoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50259 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
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Note: green Score (e.g. "73.2") means that the model is better than eunyounglee/got-neo-var-ppo .
Rank the Got Neo Var Ppo Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803