Autotrain compatible Dataset:vicgalle/alpaca-gpt4 En Endpoints compatible Gpt neox Pytorch Region:us Safetensors
ShortKing 1.4B V0.1 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)
ShortKing 1.4B V0.1 Parameters and Internals
| LLM Name | ShortKing 1.4B V0.1 |
| Repository 🤗 | https://huggingface.co/AtAndDev/ShortKing-1.4b-v0.1 |
| Model Size | 1.4b |
| Required VRAM | 2.8 GB |
| Updated | 2024-09-07 |
| Maintainer | AtAndDev |
| Model Type | gpt_neox |
| Model Files | |
| Supported Languages | en |
| Model Architecture | GPTNeoXForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.31.0 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50304 |
| Torch Data Type | float16 |
Best Alternatives to ShortKing 1.4B V0.1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pythia 1.4B Deduped 8K Base | 8K / 7.3 GB | 7 | 1 |
| Pythia 1.4B Deduped 4K Base | 4K / 6.1 GB | 6 | 2 |
| Pythia 1.4B Sft Full | 2K / 2.8 GB | 7 | 1 |
| RCC Ins Reconstruction | 2K / 6.1 GB | 48 | 1 |
| Pythia Delphi Suboptimal | 2K / 5.7 GB | 9 | 0 |
| Pythia 1.4B | 2K / 2.9 GB | 112379 | 21 |
| Pythia 1.4b Sft Policy | 2K / 2.9 GB | 546 | 1 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 708 | 2 |
| Pythia 1.4B Deduped Sharegpt | 2K / 2.8 GB | 701 | 0 |
| Pythia 1.4B Deduped | 2K / 2.9 GB | 10427 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than AtAndDev/ShortKing-1.4b-v0.1 .
Rank the ShortKing 1.4B V0.1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803