Autotrain compatible Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai... Dataset:aeslc Dataset:postbot/multi-emails-1... Email Email generation Endpoints compatible Generated from trainer Gpt neo Model-index Pytorch Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/postbot/gpt-neo-1.3B-emailgen
GPT Neo 1.3B Emailgen Benchmarks
ARC: 29.95 vs 96.7 (so35)-69%
HellaSwag: 47.95 vs 95.3 (gpt4)-49.7%
MMLU: 24.11 vs 88.3 (so35)-72.7%
TruthfulQA: 42.55 vs 59 (gpt4)-27.9%
WinoGrande: 56.27 vs 87.5 (gpt4)-35.7%
LLME Score: 0.09594
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 Neo 1.3B Emailgen Parameters and Internals
| Model Type |
| |||
| Training Details |
|
| LLM Name | GPT Neo 1.3B Emailgen |
| Repository 🤗 | https://huggingface.co/postbot/gpt-neo-1.3B-emailgen |
| Base Model(s) | |
| Model Size | 1.3b |
| Required VRAM | 5.4 GB |
| Updated | 2025-02-05 |
| Maintainer | postbot |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.22.2 |
| Tokenizer Class | GPT2Tokenizer |
| Beginning of Sentence Token | <|endoftext|> |
| End of Sentence Token | <|endoftext|> |
| Unk Token | <|endoftext|> |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
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| GPT NeoX 1.3B Viet Long 70 | 2K / 5.3 GB | 14 | 0 |
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Note: green Score (e.g. "73.2") means that the model is better than postbot/gpt-neo-1.3B-emailgen .
Rank the GPT Neo 1.3B Emailgen Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227