Vicuna 7B 16K

Released
2023-10-23
Last refreshed
2026-06-15
Status
Researched 181d ago
Open weightsCommercial use: conditionalClassificationJSON / Tool use
Specifications
Family
Vicuna
Released
2023-10-23
Context
16K
Parameters
7B
Architecture
Decoder Only
Knowledge cutoff
2022
Specialization
general
Openness
Open weights
License
Llama 2 CommunityCommercial use: conditional
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-v1.5-16k is a large language model (LLM) designed as an advanced chat assistant, developed by LMSYS. It's built on a transformer architecture and fine-tuned from Llama 2, with a notable feature being its 16k context window achieved using linear RoPE scaling. This allows the model to process much longer sequences of text, making it highly effective for comprehensive conversations. Trained on approximately 125,000 conversations from ShareGPT.com, Vicuna demonstrates strong capabilities in handling open-ended dialogues, responding to questions, and supporting various natural language tasks.

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.

Migration checks

No linked migration route is available for this model yet.