Vicuna 13B 16K
Vicuna 13B 16K is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 16k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Family
- Vicuna
- Released
- 2023-10-23
- Context
- 16k
- Parameters
- 13B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2022
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · GCP Vertex AI
About
The Vicuna 13B v1.5 16K model by LMSYS is an advanced conversational AI built on the transformer architecture, fine-tuned from Llama 2. It features 13 billion parameters and handles up to 16,000 tokens in context, making it suitable for diverse tasks like chatbots and content generation. Trained on 125,000 conversations from ShareGPT, it excels in generating coherent text and engaging dialogue but may struggle with domain-specific knowledge and nuanced context. Despite potential biases, it represents a significant step forward in conversational AI.
Vicuna 13B 16K is a model in the Vicuna family. The structured metadata tracks a 16k-token context window and structured outputs. This page tracks provider routes through GCP Vertex AI. No headline benchmark score is tracked for Vicuna 13B 16K yet.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| GCP Vertex AI | - | - | ServerlessPartial |
Capabilities
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.