Lance
by bytedance-research
Unified 3B model for image and video understanding, generation, and editing
bytedance-research/Lancemixpeek://video_extractor@v1/bytedance_lance_3b_v1Overview
Lance is ByteDance's 3B-parameter unified vision model that handles image understanding, video understanding, image generation, video generation, and image/video editing in a single architecture. It uses a vision tokenizer to convert between continuous pixel space and discrete token space, enabling a shared transformer to reason across both modalities.
On Mixpeek, Lance is relevant as a compact video understanding model that can caption, describe, and answer questions about both images and video content. Its unified architecture means a single model can power scene description, visual Q&A, and content analysis pipelines.
Architecture
Unified autoregressive transformer with a learned vision tokenizer. 3B parameters. Supports text-to-image, text-to-video, image/video understanding, and editing through a shared token space.
Mixpeek SDK Integration
import { Mixpeek } from "mixpeek";
const mx = new Mixpeek({ apiKey: "API_KEY" });
// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
namespace_id: "my-namespace",
collection_name: "my-collection",
source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
feature_extractor: {
feature_extractor_name: "s3",
version: "v1",
parameters: { model_id: "mixpeek://video_extractor@v1/bytedance_lance_3b_v1" },
},
});Capabilities
- Unified image and video understanding in one model
- Scene description and visual Q&A for both images and video
- Compact 3B parameter count suitable for GPU-constrained deployments
- Multi-task capability reduces pipeline complexity
Use Cases on Mixpeek
Benchmarks
| Dataset | Metric | Score | Source |
|---|---|---|---|
| Video-MME | Accuracy | 62.1 | Model card |
| MMMU-Pro (vision) | Score | 38.4 | Model card |
Performance
Common Pipeline Companions
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Specification
Research Paper
Model paper or technical report
arxiv.orgBuild a pipeline with Lance
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