Model reference · open weights

vicuna-delta

Available as managed deployment LLMs lmsys Text gen 1 variants 522 dl/mo

vicuna-delta is an open-weight language model from lmsys. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bylmsys
TypeLanguage models
TaskText gen
Context2k tokens
Runs withtransformers
Released2023-04-03
Popularity522 downloads / month
LicenceUnknown

About

What vicuna-delta is

NOTE: New version available Please check out a newer version of the weights here.

NOTE: This "delta model" cannot be used directly. Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights. See instructions.

Read the full model card

Vicuna Model Card

Model Details

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

  • Developed by: LMSYS
  • Model type: An auto-regressive language model based on the transformer architecture.
  • License: Non-commercial license
  • Finetuned from model: LLaMA.

Model Sources

  • Repository: https://github.com/lm-sys/FastChat
  • Blog: https://lmsys.org/blog/2023-03-30-vicuna/
  • Paper: https://arxiv.org/abs/2306.05685
  • Demo: https://chat.lmsys.org/

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

Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights. APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api.

Training Details

Vicuna v0 is fine-tuned from LLaMA with supervised instruction fine-tuning. The training data is around 70K conversations collected from ShareGPT.com. See more details in the "Training Details of Vicuna Models" section in the appendix of this paper.

Evaluation

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

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys vicuna-delta for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (vicuna-delta below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/chat/completions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"vicuna-delta","messages":[{"role":"user","content":"Hello"}]}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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