NeVA 22B
NeVA 22B is a legacy integration reference; keep it only while you identify a current replacement.
- Family
- NeVA
- Released
- 2024-03-01
- Parameters
- 22B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- Llama 3 CommunityCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · NVIDIA NIM
About
NeVA-22B is a sophisticated vision-language model from NVIDIA, capable of interpreting and responding to intricate instructions that involve both text and images. It integrates a GPT-based language model with a CLIP model for image encoding, projecting image data into a shared text space for seamless processing. Trained with extensive datasets, including image-caption pairs and synthetic GPT-4 generated data, NeVA-22B excels in tasks such as language generation and visual question answering. It is optimized for NVIDIA’s hardware and utilizes Triton and TensorRT-LLM for efficient inference. Despite its advancements, users should be cautious of potential biases and inaccuracies in its outputs.
Providers(1)
Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ProvisionedPartial |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · NVIDIA NIM