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 | 2024-09-08 |
| 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 |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Fiction Story Generator | 2K / 0.6 GB | 734 | 4 |
| MindLLM 1b3 Chat Zh V2.0 | 2K / 3 GB | 136 | 10 |
| Calliope Legacy | 2K / 10.7 GB | 10 | 27 |
| Domain Interpretation Model V2 | 2K / 1.4 GB | 4 | 2 |
| Got Neo Var Ppo | 2K / 0.5 GB | 6 | 0 |
| Sft 1 | 2K / 0.5 GB | 5 | 0 |
| ...c Entityextraction GPT Neo1.3B | 2K / 1.4 GB | 5 | 0 |
| GPT Neo350 TURING | 2K / 1.5 GB | 12 | 0 |
| GPT Neo350 EvilUltimate | 2K / 1.5 GB | 16 | 3 |
| GPT Neo Br Instruction | 2K / 0.6 GB | 27 | 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
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 35693 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803