lmsys / vicuna-7b-v1.5-16k

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Total runs: 3.3K
24-hour runs: 0
7-day runs: -359
30-day runs: 306
Model's Last Updated: October 10 2023
text-generation

Introduction of vicuna-7b-v1.5-16k

Model Details of vicuna-7b-v1.5-16k

Vicuna Model Card

Model Details

Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.

  • Developed by: LMSYS
  • Model type: An auto-regressive language model based on the transformer architecture
  • License: Llama 2 Community License Agreement
  • Finetuned from model: Llama 2
Model Sources
Uses

The primary use of Vicuna is research on large language models and chatbots. The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

How to Get Started with the Model
Training Details

Vicuna v1.5 (16k) is fine-tuned from Llama 2 with supervised instruction fine-tuning and linear RoPE scaling. The training data is around 125K conversations collected from ShareGPT.com. These conversations are packed into sequences that contain 16K tokens each. See more details in the "Training Details of Vicuna Models" section in the appendix of this paper .

Evaluation

Evaluation Results

Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this paper and leaderboard .

Difference between different versions of Vicuna

See vicuna_weights_version.md

Runs of lmsys vicuna-7b-v1.5-16k on huggingface.co

3.3K
Total runs
0
24-hour runs
0
3-day runs
-359
7-day runs
306
30-day runs

More Information About vicuna-7b-v1.5-16k huggingface.co Model

More vicuna-7b-v1.5-16k license Visit here:

https://choosealicense.com/licenses/llama2

vicuna-7b-v1.5-16k huggingface.co

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vicuna-7b-v1.5-16k install

vicuna-7b-v1.5-16k is an open source model from GitHub that offers a free installation service, and any user can find vicuna-7b-v1.5-16k on GitHub to install. At the same time, huggingface.co provides the effect of vicuna-7b-v1.5-16k install, users can directly use vicuna-7b-v1.5-16k installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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