Autotrain compatible Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai... Chatbot Gpt-neo Gpt-peter Gpt neo Pytorch Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/gpt-peter-2.7B
GPT Peter 2.7B 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)
GPT Peter 2.7B Parameters and Internals
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| LLM Name | GPT Peter 2.7B |
| Repository 🤗 | https://huggingface.co/pszemraj/gpt-peter-2.7B |
| Base Model(s) | |
| Model Size | 2.7b |
| Required VRAM | 11.1 GB |
| Updated | 2025-09-23 |
| Maintainer | pszemraj |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.18.0 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | bfloat16 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to GPT Peter 2.7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ChildModel 02 | 2K / 5.3 GB | 5 | 0 |
| GPT Neo 2.7B Lama | 2K / 10.6 GB | 5 | 0 |
| PRIME2 Openai | 2K / 6.6 GB | 5 | 1 |
| EleutherAI GPT Neo 2.7B 4bits | 2K / 1.7 GB | 6 | 0 |
| GPT Neo 2.7B | 2K / 10.7 GB | 28633 | 492 |
| Pygmalion 2.7B | 2K / 5.4 GB | 1192 | 59 |
| ... Style Transfer Using Examples | 2K / 5.4 GB | 7 | 1 |
| Pygmalion 2.7B | 2K / 0 GB | 3 | 1 |
| GPT Neo 2.7B Horni | 2K / 6.6 GB | 48 | 0 |
| GPT Neo 2.7B Shinen | 2K / 6.6 GB | 36 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than pszemraj/gpt-peter-2.7B .
Rank the GPT Peter 2.7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124