Vicuna 7B

Released
2023-10-23
Last refreshed
2026-06-15
Status
Researched 181d ago
Open weightsCommercial use: restrictedClassificationJSON / Tool use
Specifications
Family
Vicuna
Released
2023-10-23
Context
2K
Parameters
7B
Architecture
Decoder Only
Knowledge cutoff
2022
Specialization
general
Openness
Open weights
License
Llama 2 CommunityRestricted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Crowdsourced AI model benchmarking

Berkeley, California, United States
Founded 2023
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · GCP Vertex AI

About

Vicuna-7B is an open-source language model crafted by LMSYS, fine-tuning the LLaMA model using around 125,000 user conversations from ShareGPT. It's designed for natural and fluent dialogues, effectively addressing a wide array of queries and generating text on diverse subjects. However, while it performs well, it may sometimes produce incorrect or biased responses due to its training limitations. Aimed primarily at research, it comes in various versions and quantizations to cater to different computational needs. Although helpful and polite, its performance is slightly lower compared to larger models like Vicuna-13B or Vicuna-33B 125.

Providers(1)

Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
GCP Vertex AI--
ServerlessPartial

Available via routers & gateways(13)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
GAOKAO21.0zero-shot, objective-accuracyObserved 2023-05-20—Source

Migration checks

No linked migration route is available for this model yet.