vicuna-7b▌

About this listing

vicuna-7b is in the explainx.ai LLM directory. LMSYS · 1 Arena leaderboard. It is labeled open-weights / public artifacts, with publisher field LMSYS and license Llama 2 Community. Structured FAQs below clarify source, weights, and benchmark data. Canonical URL: /llms/vicuna-7b.

FAQ

What is vicuna-7b?

vicuna-7b — LMSYS · 1 Arena leaderboard. It appears in the explainx.ai LLM marketplace as a discoverability aid. Reported specs on explainx.ai include type: language; scale: 7B. Links and license data should be verified with the publisher before production use.

Who created or publishes vicuna-7b?

On this listing, the organization or lab field is “LMSYS” (sourced from the directory import or editor). That usually matches the publisher; confirm on the official model card or vendor site.

Is vicuna-7b open source or closed source?

The listing is categorized as open-weights or publicly downloadable where the publisher allows it; the recorded license is “Llama 2 Community”. Closed or gated releases can still appear on Hugging Face—always read the license on the publisher’s page.

Where can I download weights or find model files for vicuna-7b?

This listing points to the Hugging Face model repo (https://huggingface.co/lmsys/vicuna-7b-v1.5), where files and weight artifacts are typically hosted. explainx.ai does not host weights; download and license terms are set by the publisher on that site.

What do Arena leaderboard numbers mean for vicuna-7b?

Arena.ai runs crowd‑ranked leaderboards (Elo-style scores) for chat, vision, code, media, and other tracks. This profile includes 1 leaderboard appearance from a snapshot (2026-04-15T06:47:52.332462+00:00). Ranks and votes are **per leaderboard**, not a single global score; combined vote counts across those rows are roughly 6,923 for context. explainx.ai mirrors summary data only; authoritative methodology lives on arena.ai.