Model Card on HF 🤗: https://huggingface.co/enkefalos/DomainSpecific_PatternDetection_GTP_Neo1.3B
DomainSpecific PatternDetection GTP Neo1.3B 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)
DomainSpecific PatternDetection GTP Neo1.3B Parameters and Internals
| LLM Name | DomainSpecific PatternDetection GTP Neo1.3B |
| Repository 🤗 | https://huggingface.co/enkefalos/DomainSpecific_PatternDetection_GTP_Neo1.3B |
| Required VRAM | 1.4 GB |
| Updated | 2025-02-20 |
| Maintainer | enkefalos |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50260 |
| Torch Data Type | float16 |
| Activation Function | gelu_new |
Best Alternatives to DomainSpecific PatternDetection GTP Neo1.3B
Best Alternatives |
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Likes |
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| Fiction Story Generator | 2K / 0.6 GB | 436 | 5 |
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| Domain Interpretation Model V2 | 2K / 1.4 GB | 87 | 2 |
| Got Neo Var Ppo | 2K / 0.5 GB | 6 | 0 |
| Sft 1 | 2K / 0.5 GB | 6 | 0 |
| ...c Entityextraction GPT Neo1.3B | 2K / 1.4 GB | 14 | 0 |
| GPT Neo350 TURING | 2K / 1.5 GB | 7 | 0 |
| GPT Neo350 EvilUltimate | 2K / 1.5 GB | 6 | 3 |
| GPT Neo Br Instruction | 2K / 0.6 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than enkefalos/DomainSpecific_PatternDetection_GTP_Neo1.3B .
Rank the DomainSpecific PatternDetection GTP Neo1.3B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124