Arxiv:2402.02834 Autotrain compatible Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow
St Vicuna V1.3 5.5B Taylor 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)
St Vicuna V1.3 5.5B Taylor Parameters and Internals
| LLM Name | St Vicuna V1.3 5.5B Taylor |
| Repository 🤗 | https://huggingface.co/nota-ai/st-vicuna-v1.3-5.5b-taylor |
| Model Size | 5.5b |
| Required VRAM | 11.1 GB |
| Updated | 2024-10-18 |
| Maintainer | nota-ai |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.33.1 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to St Vicuna V1.3 5.5B Taylor
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Cpt St Vicuna V1.3 5.5B Ppl | 2K / 11.1 GB | 1 | 5 |
| St Llama 1 5.5B Ppl | 2K / 11.1 GB | 62 | 10 |
| St Llama 1 5.5B Taylor | 2K / 11.1 GB | 36 | 10 |
| St Vicuna V1.3 5.5B Ppl | 2K / 11.1 GB | 3 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than nota-ai/st-vicuna-v1.3-5.5b-taylor .
Rank the St Vicuna V1.3 5.5B Taylor Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803