Arxiv:2402.02834 Autotrain compatible Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/nota-ai/st-vicuna-v1.3-10.5b-taylor
St Vicuna V1.3 10.5B 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 10.5B Taylor Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | St Vicuna V1.3 10.5B Taylor |
| Repository 🤗 | https://huggingface.co/nota-ai/st-vicuna-v1.3-10.5b-taylor |
| Model Size | 10.5b |
| Required VRAM | 20.9 GB |
| Updated | 2025-09-23 |
| 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 10.5B Taylor
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 10.5B V1 | 4K / 20.7 GB | 5 | 0 |
| St Vicuna V1.3 10.5B Ppl | 2K / 20.9 GB | 1 | 9 |
Note: green Score (e.g. "73.2") means that the model is better than nota-ai/st-vicuna-v1.3-10.5b-taylor .
Rank the St Vicuna V1.3 10.5B Taylor 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? 51551 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124