NeVA 43B
NeVA 43B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- NeVA
- Released
- 2024-03-01
- Parameters
- 43B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
NeVA 43B, developed by NVIDIA, is a sophisticated multimodal vision-language model designed within a decoder-only GPT architecture. It processes a vast array of data, trained on 1.1 trillion tokens with 48 layers. Its exceptional capability in understanding and generating text and images stems from integrating a frozen CLIP model for image encoding with a GPT language model. NeVA excels in visual question answering, image captioning, and image-related instruction following. Its development included meticulous pre-training with image-caption pairs from datasets like CC-3M and further fine-tuning using GPT-4-generated instruction data. Leveraging NVIDIA’s advanced Hopper and Ampere/Turing hardware, NeVA efficiently performs inference tasks via the Triton Inference Server. Despite its robust performance, it retains typical limitations, including biases due to training data and challenges in model interpretability.
NeVA 43B is a model in the NeVA family. No headline benchmark score is tracked for NeVA 43B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
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.