Fara-7B
by microsoft
7B vision-language model for UI, web, and action-oriented visual reasoning
microsoft/Fara-7Bmixpeek://image_extractor@v1/microsoft_fara_7b_v1Overview
Fara-7B is Microsoft's compact image-text model for agents that need to inspect visual state before deciding what to do next. It is built on the Qwen2.5-VL family and is tagged for multimodal, conversational image-text reasoning on Hugging Face.
On Mixpeek, Fara-7B is useful for screenshot, web page, and workflow indexing. It can turn screen states, app recordings, and UI evidence into searchable descriptions so an agent can retrieve the exact visual context behind a prior action.
Architecture
Qwen2.5-VL-family image-text-to-text transformer. 7B parameters. Supports conversational visual reasoning over screenshots and images.
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://image_extractor@v1/microsoft_fara_7b_v1" },
},
});Capabilities
- Screenshot and UI state understanding
- Action-oriented visual reasoning for agent workflows
- Image-text-to-text analysis in a compact 7B model
- MIT licensed model card metadata on Hugging Face
Use Cases on Mixpeek
Performance
Use batch size and image resolution controls for production screenshot indexing.
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Specification
Research Paper
Fara-7B
arxiv.orgBuild a pipeline with Fara-7B
Add this model to a processing pipeline alongside other extractors. Combine with retrieval stages for end-to-end search.
Open Studio